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"source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 146, in forward\n text_embedding = self.model.get_input_embeddings()(input_ids)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "where", + "op": "aten.where.self", + "args": [ + { + "tensor": "is_image" + }, + { + "tensor": "image_embedding" + }, + { + "tensor": "embedding" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 147, in forward\n embedding = torch.where(is_image, image_embedding, text_embedding)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_1", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "position_ids" + }, + 0, + 1, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1183, in forward\n position_ids = position_ids[1:]\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "b_model_model_language_model_rotary_emb_inv_freq" + }, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 5, in forward\n unsqueeze = torch.ops.aten.unsqueeze.default(b_model_model_language_model_rotary_emb_inv_freq, 0); b_model_model_language_model_rotary_emb_inv_freq = None" + }, + { + "id": "unsqueeze_1", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "unsqueeze" + }, + 1 + ], + "kwargs": {}, + "source": "File \".49\", line 6, in forward\n unsqueeze_1 = torch.ops.aten.unsqueeze.default(unsqueeze, 1); unsqueeze = None" + }, + { + "id": "unsqueeze_2", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "unsqueeze_1" + }, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 7, in forward\n unsqueeze_2 = torch.ops.aten.unsqueeze.default(unsqueeze_1, 3); unsqueeze_1 = None" + }, + { + "id": "expand", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_2" + }, + [ + 3, + 1, + -1, + 1 + ] + ], + "kwargs": {}, + "source": "File \".49\", line 10, in forward\n expand = torch.ops.aten.expand.default(to, [3, 1, -1, 1]); to = None" + }, + { + "id": "unsqueeze_3", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "slice_1" + }, + 2 + ], + "kwargs": {}, + "source": "File \".49\", line 13, in forward\n unsqueeze_3 = torch.ops.aten.unsqueeze.default(slice_1, 2); slice_1 = None" + }, + { + "id": "_to_copy", + "op": "aten._to_copy.default", + "args": [ + { + "tensor": "unsqueeze_3" + } + ], + "kwargs": { + "dtype": { + "dtype": "float32" + } + }, + "source": "File \".49\", line 15, in forward\n to_2 = torch.ops.aten.to.dtype(unsqueeze_3, torch.float32); unsqueeze_3 = None" + }, + { + "id": "matmul", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "expand" + }, + { + "tensor": "_to_copy" + } + ], + "kwargs": {}, + "source": "File \".49\", line 20, in forward\n matmul = torch.ops.aten.matmul.default(to_3, to_4); to_3 = to_4 = None" + }, + { + "id": "transpose", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 21, in forward\n transpose = torch.ops.aten.transpose.int(matmul, 2, 3); matmul = None" + }, + { + "id": "select", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "select_1", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose" + }, + 0, + 1 + ], + "kwargs": {}, + "source": "File \".49\", line 23, in forward\n select_1 = torch.ops.aten.select.int(transpose, 0, 1)" + }, + { + "id": "slice_2", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_1" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 24, in forward\n slice_2 = torch.ops.aten.slice.Tensor(select_1, 2, 1, 33, 3); select_1 = None" + }, + { + "id": "slice_3", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 25, in forward\n slice_3 = torch.ops.aten.slice.Tensor(select, 2, 1, 33, 3)" + }, + { + "id": "copy", + "op": "aten.copy.default", + "args": [ + { + "tensor": "slice_3" + }, + { + "tensor": "slice_2" + } + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_1", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "select_2", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_1" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "slice_scatter", + "op": "aten.slice_scatter.default", + "args": [ + { + "tensor": "select_2" + }, + { + "tensor": "copy" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "select_scatter", + "op": "aten.select_scatter.default", + "args": [ + { + "tensor": "transpose_1" + }, + { + "tensor": "slice_scatter" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_2", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "select_scatter" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_7", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "select_7", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_7" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "slice_7", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_7" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "transpose_8", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "select_8", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_8" + }, + 0, + 2 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "slice_8", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_8" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "copy_1", + "op": "aten.copy.default", + "args": [ + { + "tensor": "slice_7" + }, + { + "tensor": "slice_8" + } + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_9", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "select_9", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_9" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "slice_scatter_1", + "op": "aten.slice_scatter.default", + "args": [ + { + "tensor": "select_9" + }, + { + "tensor": "copy_1" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "select_scatter_1", + "op": "aten.select_scatter.default", + "args": [ + { + "tensor": "transpose_9" + }, + { + "tensor": "slice_scatter_1" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_10", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "select_scatter_1" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_12", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_10" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "select_11", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_12" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "cat", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "select_11" + }, + { + "tensor": "select_11" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \".49\", line 31, in forward\n cat = torch.ops.aten.cat.default([select, select], -1); select = None" + }, + { + "id": "cos", + "op": "aten.cos.default", + "args": [ + { + "tensor": "cat" + } + ], + "kwargs": {}, + "source": "File \".49\", line 32, in forward\n cos = torch.ops.aten.cos.default(cat)" + }, + { + "id": "mul", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cos" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \".49\", line 33, in forward\n mul = torch.ops.aten.mul.Tensor(cos, 1.0); cos = None" + }, + { + "id": "sin", + "op": "aten.sin.default", + "args": [ + { + "tensor": "cat" + } + ], + "kwargs": {}, + "source": "File \".49\", line 34, in forward\n sin = torch.ops.aten.sin.default(cat); cat = None" + }, + { + "id": "mul_1", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "sin" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \".49\", line 35, in forward\n mul_1 = torch.ops.aten.mul.Tensor(sin, 1.0); sin = None" + }, + { + "id": "pow_1", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "where" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_1" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_2", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "where" + }, + { + "tensor": "rsqrt" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_1", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_3", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_2" + }, + { + "tensor": "add_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_3" + }, + { + "tensor": "where" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_13", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_1", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_1" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_2", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_3", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_1", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_0" + }, + { + "tensor": "transpose_13" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_10", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_1" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_4", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_1" + }, + { + "tensor": "unsqueeze_4" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_11", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_12", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_14", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_12" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_13", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_14", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_15", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_1", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_13" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_2", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_14" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_3", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_15" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_2", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_3" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_4", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg" + }, + { + "tensor": "softplus" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_5", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_1" + }, + { + "tensor": "view_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_1", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_5" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_3", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_1" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_1", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_6", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_1" + }, + { + "tensor": "rsqrt_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_7", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_2" + }, + { + "tensor": "view_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_2", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_7" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_4", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_2" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_2", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_8", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_2" + }, + { + "tensor": "rsqrt_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_6" + }, + { + "tensor": "mul_8" + }, + { + "tensor": "view_3" + }, + { + "tensor": "mul_4" + }, + { + "tensor": "sigmoid" + }, + { + "tensor": "states_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_16", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_17", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_15", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_17" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_15" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_4", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_5", + "op": "aten.view.default", + "args": [ + { + "tensor": "view" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_2", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_4" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_1", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_2" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_5", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_1" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_3", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_9", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_4" + }, + { + "tensor": "rsqrt_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_10", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_norm_weight" + }, + { + "tensor": "mul_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_1", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_11", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_10" + }, + { + "tensor": "silu_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_6", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_11" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_4", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_6" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_6", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "where" + }, + { + "tensor": "linear_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_3", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_6" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_2", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_3" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_7", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_2" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_4", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_12", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_6" + }, + { + "tensor": "rsqrt_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_8", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_13", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_12" + }, + { + "tensor": "add_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_1", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_13" + }, + { + "tensor": "add_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_5", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_1" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_2", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_6", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_1" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_14", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_2" + }, + { + "tensor": "linear_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_7", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_14" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_9", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_6" + }, + { + "tensor": "linear_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_4", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_9" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_3", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_4" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_10", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_3" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_5", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_15", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_9" + }, + { + "tensor": "rsqrt_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_11", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_16", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_15" + }, + { + "tensor": "add_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_2", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_16" + }, + { + "tensor": "add_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_8", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_16", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_9", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_7", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_9" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_10", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_11", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_2", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_2" + }, + { + "tensor": "transpose_16" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_18", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_2" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_1", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_5", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_1", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_2" + }, + { + "tensor": "unsqueeze_5" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_19", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_1" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_3", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_20", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_3" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_17", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_20" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_21", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_22", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_23", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_8", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_21" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_9", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_22" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_10", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_23" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_1", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_1", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_1", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_12", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_11" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_1", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_17", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_1" + }, + { + "tensor": "softplus_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_18", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_8" + }, + { + "tensor": "view_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_3", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_18" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_13", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_3" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_6", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_19", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_8" + }, + { + "tensor": "rsqrt_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_20", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_9" + }, + { + "tensor": "view_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_4", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_20" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_14", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_4" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_7", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_21", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_9" + }, + { + "tensor": "rsqrt_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_1", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_19" + }, + { + "tensor": "mul_21" + }, + { + "tensor": "view_10" + }, + { + "tensor": "mul_17" + }, + { + "tensor": "sigmoid_1" + }, + { + "tensor": "states_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_24", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_1" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_25", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_1" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_18", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_25" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_1", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_18" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_11", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_1" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_12", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_7" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_5", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_11" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_4", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_5" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_15", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_4" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_8", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_22", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_11" + }, + { + "tensor": "rsqrt_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_23", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_norm_weight" + }, + { + "tensor": "mul_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_4", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_24", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_23" + }, + { + "tensor": "silu_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_13", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_24" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_12", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_13" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_16", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_9" + }, + { + "tensor": "linear_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_6", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_16" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_5", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_6" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_17", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_5" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_9", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_25", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_16" + }, + { + "tensor": "rsqrt_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_18", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_26", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_25" + }, + { + "tensor": "add_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_3", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_26" + }, + { + "tensor": "add_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_13", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_3" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_5", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_14", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_3" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_27", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_5" + }, + { + "tensor": "linear_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_15", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_27" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_19", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_16" + }, + { + "tensor": "linear_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_7", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_19" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_6", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_7" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_20", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_6" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_10", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_28", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_19" + }, + { + "tensor": "rsqrt_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_21", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_29", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_28" + }, + { + "tensor": "add_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_4", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_29" + }, + { + "tensor": "add_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_16", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_19", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_16" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_17", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_14", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_17" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_18", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_19", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_3", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_4" + }, + { + "tensor": "transpose_19" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_26", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_3" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_2", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_6", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_2" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_2", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_3" + }, + { + "tensor": "unsqueeze_6" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_27", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_2" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_6", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_28", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_6" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_20", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_28" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_29", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_30", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_31", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_15", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_29" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_16", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_30" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_17", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_31" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_2", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_2", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_2", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_22", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_19" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_2", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_30", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_2" + }, + { + "tensor": "softplus_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_31", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_15" + }, + { + "tensor": "view_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_5", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_31" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_23", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_5" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_11", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_32", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_15" + }, + { + "tensor": "rsqrt_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_33", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_16" + }, + { + "tensor": "view_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_6", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_33" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_24", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_6" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_12", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_34", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_16" + }, + { + "tensor": "rsqrt_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_2", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_32" + }, + { + "tensor": "mul_34" + }, + { + "tensor": "view_17" + }, + { + "tensor": "mul_30" + }, + { + "tensor": "sigmoid_2" + }, + { + "tensor": "states_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_32", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_2" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_33", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_2" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_21", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_33" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_2", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_21" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_18", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_2" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_19", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_14" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_8", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_18" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_7", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_8" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_25", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_7" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_13", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_35", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_18" + }, + { + "tensor": "rsqrt_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_36", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_norm_weight" + }, + { + "tensor": "mul_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_7", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_37", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_36" + }, + { + "tensor": "silu_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_20", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_37" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_20", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_20" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_26", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_19" + }, + { + "tensor": "linear_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_9", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_26" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_8", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_9" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_27", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_8" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_14", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_38", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_26" + }, + { + "tensor": "rsqrt_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_28", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_39", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_38" + }, + { + "tensor": "add_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_5", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_39" + }, + { + "tensor": "add_26" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_21", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_5" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_8", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_22", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_5" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_40", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_8" + }, + { + "tensor": "linear_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_23", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_40" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_29", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_26" + }, + { + "tensor": "linear_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_10", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_29" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_9", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_10" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_30", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_9" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_15", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_41", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_29" + }, + { + "tensor": "rsqrt_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_31", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_42", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_41" + }, + { + "tensor": "add_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_6", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_42" + }, + { + "tensor": "add_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_24", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_21", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_24" + }, + [ + 1, + 16, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_34", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_21" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_35", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_21" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_3", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_35" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_3" + }, + [ + 1, + 16, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_22", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_34" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_11", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_22" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_10", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_11" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_32", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_10" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_16", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_43", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_22" + }, + { + "tensor": "rsqrt_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_33", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_44", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_43" + }, + { + "tensor": "add_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_7", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_44" + }, + { + "tensor": "view_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_22", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_7" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_25", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_23", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_25" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_12", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_23" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_11", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_12" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_34", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_11" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_17", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_45", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_23" + }, + { + "tensor": "rsqrt_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_35", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_46", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_45" + }, + { + "tensor": "add_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_8", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_46" + }, + { + "tensor": "view_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_23", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_26", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_24", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_26" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_24", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_24" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_7", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_8", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_36", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_22" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_37", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_22" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_38", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_23" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_39", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_23" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_47", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + { + "tensor": "unsqueeze_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_40", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_41", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_3", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_4", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_3" + }, + { + "tensor": "slice_40" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_48", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_4" + }, + { + "tensor": "unsqueeze_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_36", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_47" + }, + { + "tensor": "mul_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_49", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + { + "tensor": "unsqueeze_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_42", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_43", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_4", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_5", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_4" + }, + { + "tensor": "slice_42" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_50", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_5" + }, + { + "tensor": "unsqueeze_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_37", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_49" + }, + { + "tensor": "mul_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_6", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_36" + }, + { + "tensor": "slice_37" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_7", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_37" + }, + { + "tensor": "slice_39" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_6" + }, + { + "tensor": "cat_7" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_1", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_7" + }, + { + "tensor": "transpose_24" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_9", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_1", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_9" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_4", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_1" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_1", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_4" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_10", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_1" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_2", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_10" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_5", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_2" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_2", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_5" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_25", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_1" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_1", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_6" + }, + { + "tensor": "transpose_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_51", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_1" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_38", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_51" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_38" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_2", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax" + }, + { + "tensor": "_unsafe_view_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_26", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_2" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_6", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_26" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_25", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_6" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_3", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_52", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_25" + }, + { + "tensor": "sigmoid_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_27", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_52" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_39", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_29" + }, + { + "tensor": "linear_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_13", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_39" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_12", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_13" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_40", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_12" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_18", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_40" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_53", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_39" + }, + { + "tensor": "rsqrt_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_41", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_54", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_53" + }, + { + "tensor": "add_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_9", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_54" + }, + { + "tensor": "add_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_28", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_9" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_9", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_29", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_9" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_55", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_9" + }, + { + "tensor": "linear_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_30", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_55" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_42", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_39" + }, + { + "tensor": "linear_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_14", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_42" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_13", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_14" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_43", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_13" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_19", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_56", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_42" + }, + { + "tensor": "rsqrt_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_44", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_57", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_56" + }, + { + "tensor": "add_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_10", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_57" + }, + { + "tensor": "add_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_31", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_27", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_31" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_32", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_26", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_32" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_33", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_34", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_8", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_8" + }, + { + "tensor": "transpose_27" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_44", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_8" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_3", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_11", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_3" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_3", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_8" + }, + { + "tensor": "unsqueeze_11" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_45", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_3" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_10", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_46", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_10" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_28", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_46" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_47", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_48", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_49", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_27", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_47" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_28", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_48" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_29", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_49" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_4", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_3", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_5", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_45", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_34" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_3", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_58", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_5" + }, + { + "tensor": "softplus_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_59", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_27" + }, + { + "tensor": "view_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_7", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_59" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_46", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_7" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_20", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_60", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_27" + }, + { + "tensor": "rsqrt_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_61", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_28" + }, + { + "tensor": "view_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_8", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_61" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_47", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_8" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_21", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_62", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_28" + }, + { + "tensor": "rsqrt_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_3", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_60" + }, + { + "tensor": "mul_62" + }, + { + "tensor": "view_29" + }, + { + "tensor": "mul_58" + }, + { + "tensor": "sigmoid_4" + }, + { + "tensor": "states_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_50", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_3" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_51", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_3" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_29", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_51" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_7", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_29" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_30", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_7" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_31", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_26" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_15", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_30" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_14", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_15" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_48", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_14" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_22", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_63", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_30" + }, + { + "tensor": "rsqrt_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_64", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_norm_weight" + }, + { + "tensor": "mul_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_11", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_65", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_64" + }, + { + "tensor": "silu_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_32", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_65" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_35", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_32" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_49", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_42" + }, + { + "tensor": "linear_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_16", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_49" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_15", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_16" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_50", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_15" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_23", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_66", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_49" + }, + { + "tensor": "rsqrt_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_51", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_67", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_66" + }, + { + "tensor": "add_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_11", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_67" + }, + { + "tensor": "add_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_36", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_11" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_12", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_37", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_11" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_68", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_12" + }, + { + "tensor": "linear_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_38", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_68" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_52", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_49" + }, + { + "tensor": "linear_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_17", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_52" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_16", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_17" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_53", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_16" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_24", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_69", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_52" + }, + { + "tensor": "rsqrt_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_54", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_70", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_69" + }, + { + "tensor": "add_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_12", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_70" + }, + { + "tensor": "add_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_39", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_30", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_39" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_40", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_33", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_40" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_41", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_42", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_9", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_10" + }, + { + "tensor": "transpose_30" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_52", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_9" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_4", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_12", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_4" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_4", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_9" + }, + { + "tensor": "unsqueeze_12" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_53", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_4" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_13", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_54", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_13" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_31", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_54" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_55", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_56", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_57", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_34", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_55" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_35", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_56" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_36", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_57" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_5", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_4", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_6", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_55", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_42" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_4", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_55" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_71", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_6" + }, + { + "tensor": "softplus_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_72", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_34" + }, + { + "tensor": "view_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_9", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_72" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_56", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_9" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_25", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_56" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_73", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_34" + }, + { + "tensor": "rsqrt_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_74", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_35" + }, + { + "tensor": "view_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_10", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_74" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_57", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_10" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_26", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_75", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_35" + }, + { + "tensor": "rsqrt_26" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_4", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_73" + }, + { + "tensor": "mul_75" + }, + { + "tensor": "view_36" + }, + { + "tensor": "mul_71" + }, + { + "tensor": "sigmoid_5" + }, + { + "tensor": "states_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_58", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_4" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_59", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_4" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_32", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_59" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_8", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_32" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_37", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_8" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_38", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_33" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_18", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_37" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_17", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_18" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_58", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_17" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_27", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_76", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_37" + }, + { + "tensor": "rsqrt_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_77", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_norm_weight" + }, + { + "tensor": "mul_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_14", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_78", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_77" + }, + { + "tensor": "silu_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_39", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_78" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_43", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_39" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_59", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_52" + }, + { + "tensor": "linear_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_19", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_59" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_18", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_19" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_60", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_18" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_28", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_79", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_59" + }, + { + "tensor": "rsqrt_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_61", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_80", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_79" + }, + { + "tensor": "add_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_13", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_80" + }, + { + "tensor": "add_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_44", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_13" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_15", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_45", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_13" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_81", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_15" + }, + { + "tensor": "linear_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_46", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_81" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_62", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_59" + }, + { + "tensor": "linear_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_20", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_62" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_19", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_20" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_63", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_19" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_29", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_82", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_62" + }, + { + "tensor": "rsqrt_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_64", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_83", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_82" + }, + { + "tensor": "add_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_14", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_83" + }, + { + "tensor": "add_62" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_47", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_33", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_47" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_48", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_40", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_48" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_49", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_50", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_10", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_12" + }, + { + "tensor": "transpose_33" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_60", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_10" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_5", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_13", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_5" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_5", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_10" + }, + { + "tensor": "unsqueeze_13" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_61", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_5" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_16", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_62", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_16" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_34", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_62" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_63", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_64", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_65", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_41", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_63" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_42", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_64" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_43", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_65" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_6", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_5", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_7", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_65", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_50" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_5", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_65" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_84", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_7" + }, + { + "tensor": "softplus_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_85", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_41" + }, + { + "tensor": "view_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_11", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_85" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_66", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_11" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_30", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_86", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_41" + }, + { + "tensor": "rsqrt_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_87", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_42" + }, + { + "tensor": "view_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_12", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_87" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_67", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_12" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_31", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_88", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_42" + }, + { + "tensor": "rsqrt_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_5", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_86" + }, + { + "tensor": "mul_88" + }, + { + "tensor": "view_43" + }, + { + "tensor": "mul_84" + }, + { + "tensor": "sigmoid_6" + }, + { + "tensor": "states_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_66", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_5" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_67", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_5" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_35", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_67" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_9", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_35" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_44", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_9" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_45", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_40" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_21", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_44" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_20", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_21" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_68", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_20" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_32", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_89", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_44" + }, + { + "tensor": "rsqrt_32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_90", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_norm_weight" + }, + { + "tensor": "mul_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_17", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_91", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_90" + }, + { + "tensor": "silu_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_46", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_91" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_51", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_46" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_69", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_62" + }, + { + "tensor": "linear_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_22", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_69" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_21", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_22" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_70", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_21" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_33", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_70" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_92", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_69" + }, + { + "tensor": "rsqrt_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_71", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_93", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_92" + }, + { + "tensor": "add_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_15", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_93" + }, + { + "tensor": "add_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_52", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_15" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_18", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_53", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_15" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_94", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_18" + }, + { + "tensor": "linear_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_54", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_94" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_72", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_69" + }, + { + "tensor": "linear_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_23", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_72" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_22", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_23" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_73", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_22" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_34", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_73" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_95", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_72" + }, + { + "tensor": "rsqrt_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_74", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_96", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_95" + }, + { + "tensor": "add_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_16", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_96" + }, + { + "tensor": "add_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_55", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_47", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_55" + }, + [ + 1, + 16, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_68", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_47" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_69", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_47" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_10", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_69" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_3", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_10" + }, + [ + 1, + 16, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_48", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_68" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_24", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_48" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_23", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_24" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_75", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_23" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_35", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_97", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_48" + }, + { + "tensor": "rsqrt_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_76", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_98", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_97" + }, + { + "tensor": "add_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_17", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_98" + }, + { + "tensor": "view_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_36", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_17" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_56", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_49", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_56" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_25", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_49" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_24", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_25" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_77", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_24" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_36", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_99", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_49" + }, + { + "tensor": "rsqrt_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_78", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_100", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_99" + }, + { + "tensor": "add_78" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_18", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_100" + }, + { + "tensor": "view_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_37", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_18" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_57", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_50", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_57" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_38", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_50" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_14", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_15", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_70", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_36" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_71", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_36" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_72", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_37" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_73", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_37" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_101", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + { + "tensor": "unsqueeze_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_74", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_75", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_8", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_11", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_8" + }, + { + "tensor": "slice_74" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_102", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_11" + }, + { + "tensor": "unsqueeze_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_79", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_101" + }, + { + "tensor": "mul_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_103", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + { + "tensor": "unsqueeze_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_76", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_77", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_9", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_12", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_9" + }, + { + "tensor": "slice_76" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_104", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_12" + }, + { + "tensor": "unsqueeze_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_80", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_103" + }, + { + "tensor": "mul_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_13", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_79" + }, + { + "tensor": "slice_71" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_14", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_80" + }, + { + "tensor": "slice_73" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_2", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_14" + }, + { + "tensor": "cat_14" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_3", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_15" + }, + { + "tensor": "transpose_38" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_16", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_2" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_3", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_16" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_11", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_3" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_4", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_11" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_17", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_3" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_4", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_17" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_12", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_4" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_5", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_12" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_39", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_4" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_3", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_13" + }, + { + "tensor": "transpose_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_105", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_3" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_81", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_105" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_1", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_81" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_4", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_1" + }, + { + "tensor": "_unsafe_view_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_40", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_4" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_13", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_40" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_51", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_13" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_7", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_106", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_51" + }, + { + "tensor": "sigmoid_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_58", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_106" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_82", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_72" + }, + { + "tensor": "linear_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_26", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_82" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_25", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_26" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_83", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_25" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_37", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_107", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_82" + }, + { + "tensor": "rsqrt_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_84", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_108", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_107" + }, + { + "tensor": "add_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_19", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_108" + }, + { + "tensor": "add_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_59", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_19" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_19", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_60", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_19" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_109", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_19" + }, + { + "tensor": "linear_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_61", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_109" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_85", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_82" + }, + { + "tensor": "linear_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_27", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_85" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_26", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_27" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_86", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_26" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_38", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_110", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_85" + }, + { + "tensor": "rsqrt_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_87", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_111", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_110" + }, + { + "tensor": "add_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_20", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_111" + }, + { + "tensor": "add_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_62", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_41", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_62" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_63", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_52", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_63" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_64", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_65", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_15", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_16" + }, + { + "tensor": "transpose_41" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_78", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_15" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_6", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_18", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_6" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_6", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_15" + }, + { + "tensor": "unsqueeze_18" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_79", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_6" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_20", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_80", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_20" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_42", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_80" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_81", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_82", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_83", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_53", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_81" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_54", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_82" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_55", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_83" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_8", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_6", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_10", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_88", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_65" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_6", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_88" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_112", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_10" + }, + { + "tensor": "softplus_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_113", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_53" + }, + { + "tensor": "view_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_13", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_113" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_89", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_13" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_39", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_114", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_53" + }, + { + "tensor": "rsqrt_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_115", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_54" + }, + { + "tensor": "view_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_14", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_115" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_90", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_14" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_40", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_116", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_54" + }, + { + "tensor": "rsqrt_40" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_6", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_114" + }, + { + "tensor": "mul_116" + }, + { + "tensor": "view_55" + }, + { + "tensor": "mul_112" + }, + { + "tensor": "sigmoid_8" + }, + { + "tensor": "states_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_84", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_6" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_85", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_6" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_43", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_85" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_14", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_43" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_56", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_14" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_57", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_52" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_28", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_56" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_27", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_28" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_91", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_27" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_41", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_117", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_56" + }, + { + "tensor": "rsqrt_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_118", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_norm_weight" + }, + { + "tensor": "mul_117" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_21", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_119", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_118" + }, + { + "tensor": "silu_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_58", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_119" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_66", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_58" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_92", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_85" + }, + { + "tensor": "linear_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_29", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_92" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_28", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_29" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_93", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_28" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_42", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_120", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_92" + }, + { + "tensor": "rsqrt_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_94", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_121", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_120" + }, + { + "tensor": "add_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_21", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_121" + }, + { + "tensor": "add_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_67", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_21" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_22", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_68", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_21" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_122", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_22" + }, + { + "tensor": "linear_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_69", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_122" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_95", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_92" + }, + { + "tensor": "linear_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_30", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_95" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_29", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_30" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_96", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_29" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_43", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_96" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_123", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_95" + }, + { + "tensor": "rsqrt_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_97", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_124", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_123" + }, + { + "tensor": "add_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_22", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_124" + }, + { + "tensor": "add_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_70", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_44", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_70" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_71", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_59", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_71" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_72", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_73", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_16", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_18" + }, + { + "tensor": "transpose_44" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_86", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_16" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_7", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_19", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_7" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_7", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_16" + }, + { + "tensor": "unsqueeze_19" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_87", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_7" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_23", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_88", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_23" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_45", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_88" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_89", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_90", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_91", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_60", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_89" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_61", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_90" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_62", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_91" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_9", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_7", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_11", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_98", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_73" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_7", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_125", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_11" + }, + { + "tensor": "softplus_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_126", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_60" + }, + { + "tensor": "view_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_15", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_126" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_99", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_15" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_44", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_127", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_60" + }, + { + "tensor": "rsqrt_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_128", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_61" + }, + { + "tensor": "view_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_16", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_128" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_100", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_16" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_45", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_129", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_61" + }, + { + "tensor": "rsqrt_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_7", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_127" + }, + { + "tensor": "mul_129" + }, + { + "tensor": "view_62" + }, + { + "tensor": "mul_125" + }, + { + "tensor": "sigmoid_9" + }, + { + "tensor": "states_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_92", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_7" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_93", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_7" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_46", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_93" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_15", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_46" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_63", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_15" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_64", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_59" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_31", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_63" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_30", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_31" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_101", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_30" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_46", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_130", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_63" + }, + { + "tensor": "rsqrt_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_131", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_norm_weight" + }, + { + "tensor": "mul_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_24", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_132", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_131" + }, + { + "tensor": "silu_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_65", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_132" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_74", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_65" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_102", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_95" + }, + { + "tensor": "linear_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_32", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_102" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_31", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_32" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_103", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_31" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_47", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_133", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_102" + }, + { + "tensor": "rsqrt_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_104", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_134", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_133" + }, + { + "tensor": "add_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_23", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_134" + }, + { + "tensor": "add_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_75", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_23" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_25", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_76", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_23" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_135", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_25" + }, + { + "tensor": "linear_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_77", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_135" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_105", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_102" + }, + { + "tensor": "linear_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_33", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_105" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_32", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_33" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_106", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_32" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_48", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_136", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_105" + }, + { + "tensor": "rsqrt_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_107", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_137", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_136" + }, + { + "tensor": "add_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_24", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_137" + }, + { + "tensor": "add_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_78", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_47", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_78" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_79", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_66", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_79" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_80", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_81", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_17", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_20" + }, + { + "tensor": "transpose_47" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_94", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_17" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_8", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_20", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_8" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_8", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_17" + }, + { + "tensor": "unsqueeze_20" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_95", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_8" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_26", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_96", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_26" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_48", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_96" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_97", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_98", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_99", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_67", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_97" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_68", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_98" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_69", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_99" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_10", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_8", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_12", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_108", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_81" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_8", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_138", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_12" + }, + { + "tensor": "softplus_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_139", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_67" + }, + { + "tensor": "view_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_17", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_139" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_109", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_17" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_49", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_140", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_67" + }, + { + "tensor": "rsqrt_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_141", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_68" + }, + { + "tensor": "view_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_18", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_141" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_110", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_18" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_50", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_110" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_142", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_68" + }, + { + "tensor": "rsqrt_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_8", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_140" + }, + { + "tensor": "mul_142" + }, + { + "tensor": "view_69" + }, + { + "tensor": "mul_138" + }, + { + "tensor": "sigmoid_10" + }, + { + "tensor": "states_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_100", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_8" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_101", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_8" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_49", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_101" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_16", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_49" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_70", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_16" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_71", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_66" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_34", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_70" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_33", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_34" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_111", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_33" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_51", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_143", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_70" + }, + { + "tensor": "rsqrt_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_144", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_norm_weight" + }, + { + "tensor": "mul_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_27", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_145", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_144" + }, + { + "tensor": "silu_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_72", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_145" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_82", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_72" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_112", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_105" + }, + { + "tensor": "linear_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_35", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_112" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_34", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_35" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_113", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_34" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_52", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_146", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_112" + }, + { + "tensor": "rsqrt_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_114", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_147", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_146" + }, + { + "tensor": "add_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_25", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_147" + }, + { + "tensor": "add_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_83", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_25" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_28", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_84", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_25" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_148", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_28" + }, + { + "tensor": "linear_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_85", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_148" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_115", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_112" + }, + { + "tensor": "linear_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_36", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_115" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_35", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_36" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_116", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_35" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_53", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_149", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_115" + }, + { + "tensor": "rsqrt_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_117", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_150", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_149" + }, + { + "tensor": "add_117" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_26", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_150" + }, + { + "tensor": "add_115" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_86", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_73", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_86" + }, + [ + 1, + 16, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_102", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_73" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_103", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_73" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_17", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_103" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_6", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_17" + }, + [ + 1, + 16, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_74", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_102" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_37", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_74" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_36", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_37" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_118", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_36" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_54", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_118" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_151", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_74" + }, + { + "tensor": "rsqrt_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_119", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_152", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_151" + }, + { + "tensor": "add_119" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_27", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_152" + }, + { + "tensor": "view_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_50", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_27" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_87", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_75", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_87" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_38", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_75" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_37", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_38" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_120", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_37" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_55", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_153", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_75" + }, + { + "tensor": "rsqrt_55" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_121", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_154", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_153" + }, + { + "tensor": "add_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_28", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_154" + }, + { + "tensor": "view_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_51", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_28" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_88", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_76", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_88" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_52", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_76" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_21", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_22", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_104", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_50" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_105", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_50" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_106", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_51" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_107", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_51" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_155", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + { + "tensor": "unsqueeze_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_108", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_109", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_13", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_18", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_13" + }, + { + "tensor": "slice_108" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_156", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_18" + }, + { + "tensor": "unsqueeze_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_122", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_155" + }, + { + "tensor": "mul_156" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_157", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + { + "tensor": "unsqueeze_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_110", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_111", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_14", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_19", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_14" + }, + { + "tensor": "slice_110" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_158", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_19" + }, + { + "tensor": "unsqueeze_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_123", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_157" + }, + { + "tensor": "mul_158" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_20", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_122" + }, + { + "tensor": "slice_105" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_21", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_123" + }, + { + "tensor": "slice_107" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_4", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_22" + }, + { + "tensor": "cat_21" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_5", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_23" + }, + { + "tensor": "transpose_52" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_23", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_4" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_5", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_23" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_18", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_5" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_7", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_18" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_24", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_5" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_6", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_24" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_19", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_6" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_8", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_19" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_53", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_7" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_5", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_20" + }, + { + "tensor": "transpose_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_159", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_5" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_124", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_159" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_2", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_124" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_6", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_2" + }, + { + "tensor": "_unsafe_view_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_54", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_6" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_20", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_54" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_77", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_20" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_11", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_160", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_77" + }, + { + "tensor": "sigmoid_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_89", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_160" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_125", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_115" + }, + { + "tensor": "linear_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_39", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_125" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_38", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_39" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_126", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_38" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_56", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_161", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_125" + }, + { + "tensor": "rsqrt_56" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_127", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_162", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_161" + }, + { + "tensor": "add_127" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_29", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_162" + }, + { + "tensor": "add_125" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_90", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_29" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_29", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_91", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_29" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_163", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_29" + }, + { + "tensor": "linear_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_92", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_163" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_128", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_125" + }, + { + "tensor": "linear_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_40", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_128" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_39", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_40" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_129", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_39" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_57", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_164", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_128" + }, + { + "tensor": "rsqrt_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_130", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_165", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_164" + }, + { + "tensor": "add_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_30", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_165" + }, + { + "tensor": "add_128" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_93", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_55", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_93" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_94", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_78", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_94" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_95", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_96", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_22", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_24" + }, + { + "tensor": "transpose_55" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_112", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_22" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_9", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_25", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_9" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_9", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_22" + }, + { + "tensor": "unsqueeze_25" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_113", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_9" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_30", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_114", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_30" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_56", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_114" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_115", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_116", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_117", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_79", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_115" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_80", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_116" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_81", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_117" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_12", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_9", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_15", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_131", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_96" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_9", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_166", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_15" + }, + { + "tensor": "softplus_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_167", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_79" + }, + { + "tensor": "view_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_19", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_167" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_132", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_19" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_58", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_132" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_168", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_79" + }, + { + "tensor": "rsqrt_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_169", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_80" + }, + { + "tensor": "view_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_20", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_169" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_133", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_20" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_59", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_133" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_170", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_80" + }, + { + "tensor": "rsqrt_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_9", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_168" + }, + { + "tensor": "mul_170" + }, + { + "tensor": "view_81" + }, + { + "tensor": "mul_166" + }, + { + "tensor": "sigmoid_12" + }, + { + "tensor": "states_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_118", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_9" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_119", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_9" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_57", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_119" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_21", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_57" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_82", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_21" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_83", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_78" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_41", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_82" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_40", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_41" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_134", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_40" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_60", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_134" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_171", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_82" + }, + { + "tensor": "rsqrt_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_172", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_norm_weight" + }, + { + "tensor": "mul_171" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_31", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_173", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_172" + }, + { + "tensor": "silu_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_84", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_173" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_97", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_84" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_135", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_128" + }, + { + "tensor": "linear_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_42", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_135" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_41", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_42" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_136", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_41" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_61", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_136" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_174", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_135" + }, + { + "tensor": "rsqrt_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_137", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_175", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_174" + }, + { + "tensor": "add_137" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_31", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_175" + }, + { + "tensor": "add_135" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_98", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_31" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_32", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_99", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_31" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_176", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_32" + }, + { + "tensor": "linear_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_100", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_176" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_138", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_135" + }, + { + "tensor": "linear_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_43", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_138" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_42", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_43" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_139", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_42" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_62", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_177", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_138" + }, + { + "tensor": "rsqrt_62" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_140", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_178", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_177" + }, + { + "tensor": "add_140" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_32", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_178" + }, + { + "tensor": "add_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_101", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_58", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_101" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_102", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_85", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_102" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_103", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_104", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_23", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_26" + }, + { + "tensor": "transpose_58" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_120", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_23" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_10", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_26", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_10" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_10", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_23" + }, + { + "tensor": "unsqueeze_26" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_121", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_10" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_33", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_122", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_33" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_59", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_122" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_123", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_124", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_125", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_86", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_123" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_87", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_124" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_88", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_125" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_13", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_10", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_16", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_141", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_104" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_10", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_141" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_179", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_16" + }, + { + "tensor": "softplus_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_180", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_86" + }, + { + "tensor": "view_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_21", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_180" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_142", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_21" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_63", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_181", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_86" + }, + { + "tensor": "rsqrt_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_182", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_87" + }, + { + "tensor": "view_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_22", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_182" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_143", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_22" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_64", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_183", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_87" + }, + { + "tensor": "rsqrt_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_10", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_181" + }, + { + "tensor": "mul_183" + }, + { + "tensor": "view_88" + }, + { + "tensor": "mul_179" + }, + { + "tensor": "sigmoid_13" + }, + { + "tensor": "states_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_126", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_10" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_127", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_10" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_60", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_127" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_22", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_60" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_89", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_22" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_90", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_85" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_44", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_89" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_43", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_44" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_144", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_43" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_65", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_144" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_184", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_89" + }, + { + "tensor": "rsqrt_65" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_185", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_norm_weight" + }, + { + "tensor": "mul_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_34", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_186", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_185" + }, + { + "tensor": "silu_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_91", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_186" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_105", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_91" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_145", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_138" + }, + { + "tensor": "linear_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_45", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_145" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_44", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_45" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_146", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_44" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_66", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_187", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_145" + }, + { + "tensor": "rsqrt_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_147", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_188", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_187" + }, + { + "tensor": "add_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_33", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_188" + }, + { + "tensor": "add_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_106", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_33" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_35", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_107", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_33" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_189", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_35" + }, + { + "tensor": "linear_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_108", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_189" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_148", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_145" + }, + { + "tensor": "linear_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_46", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_148" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_45", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_46" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_149", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_45" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_67", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_149" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_190", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_148" + }, + { + "tensor": "rsqrt_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_150", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_191", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_190" + }, + { + "tensor": "add_150" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_34", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_191" + }, + { + "tensor": "add_148" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_109", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_61", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_109" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_110", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_92", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_110" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_111", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_112", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_24", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_28" + }, + { + "tensor": "transpose_61" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_128", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_24" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_11", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_27", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_11" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_11", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_24" + }, + { + "tensor": "unsqueeze_27" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_129", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_11" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_36", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_130", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_36" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_62", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_130" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_131", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_132", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_133", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_93", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_131" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_94", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_132" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_95", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_133" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_14", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_11", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_17", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_151", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_112" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_11", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_151" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_192", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_17" + }, + { + "tensor": "softplus_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_193", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_93" + }, + { + "tensor": "view_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_23", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_193" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_152", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_23" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_68", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_194", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_93" + }, + { + "tensor": "rsqrt_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_195", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_94" + }, + { + "tensor": "view_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_24", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_195" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_153", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_24" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_69", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_196", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_94" + }, + { + "tensor": "rsqrt_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_11", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_194" + }, + { + "tensor": "mul_196" + }, + { + "tensor": "view_95" + }, + { + "tensor": "mul_192" + }, + { + "tensor": "sigmoid_14" + }, + { + "tensor": "states_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_134", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_11" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_135", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_11" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_63", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_135" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_23", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_63" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_96", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_23" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_97", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_92" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_47", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_96" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_46", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_47" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_154", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_46" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_70", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_154" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_197", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_96" + }, + { + "tensor": "rsqrt_70" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_198", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_norm_weight" + }, + { + "tensor": "mul_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_37", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_199", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_198" + }, + { + "tensor": "silu_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_98", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_199" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_113", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_98" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_155", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_148" + }, + { + "tensor": "linear_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_48", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_155" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_47", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_48" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_156", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_47" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_71", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_156" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_200", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_155" + }, + { + "tensor": "rsqrt_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_157", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_201", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_200" + }, + { + "tensor": "add_157" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_35", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_201" + }, + { + "tensor": "add_155" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_114", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_35" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_38", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_115", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_35" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_202", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_38" + }, + { + "tensor": "linear_115" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_116", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_202" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_158", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_155" + }, + { + "tensor": "linear_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_49", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_158" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_48", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_49" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_159", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_48" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_72", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_159" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_203", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_158" + }, + { + "tensor": "rsqrt_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_160", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_204", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_203" + }, + { + "tensor": "add_160" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_36", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_204" + }, + { + "tensor": "add_158" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_117", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_99", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_117" + }, + [ + 1, + 16, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_136", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_99" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_137", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_99" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_24", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_137" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_9", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_24" + }, + [ + 1, + 16, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_100", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_136" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_50", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_100" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_49", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_50" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_161", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_49" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_73", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_161" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_205", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_100" + }, + { + "tensor": "rsqrt_73" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_162", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_206", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_205" + }, + { + "tensor": "add_162" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_37", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_206" + }, + { + "tensor": "view_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_64", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_37" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_118", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_101", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_118" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_51", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_101" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_50", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_51" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_163", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_50" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_74", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_163" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_207", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_101" + }, + { + "tensor": "rsqrt_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_164", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_208", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_207" + }, + { + "tensor": "add_164" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_38", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_208" + }, + { + "tensor": "view_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_65", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_38" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_119", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_102", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_119" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_66", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_102" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_28", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_29", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_138", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_64" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_139", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_64" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_140", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_65" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_141", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_65" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_209", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + { + "tensor": "unsqueeze_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_142", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_143", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_18", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_25", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_18" + }, + { + "tensor": "slice_142" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_210", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_25" + }, + { + "tensor": "unsqueeze_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_165", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_209" + }, + { + "tensor": "mul_210" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_211", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + { + "tensor": "unsqueeze_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_144", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_145", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_19", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_26", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_19" + }, + { + "tensor": "slice_144" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_212", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_26" + }, + { + "tensor": "unsqueeze_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_166", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_211" + }, + { + "tensor": "mul_212" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_27", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_165" + }, + { + "tensor": "slice_139" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_28", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_166" + }, + { + "tensor": "slice_141" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_6", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_30" + }, + { + "tensor": "cat_28" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_7", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_31" + }, + { + "tensor": "transpose_66" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_30", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_6" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_7", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_30" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_25", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_7" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_10", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_25" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_31", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_7" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_8", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_31" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_26", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_8" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_11", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_26" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_67", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_10" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_7", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_27" + }, + { + "tensor": "transpose_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_213", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_7" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_167", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_213" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_3", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_167" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_8", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_3" + }, + { + "tensor": "_unsafe_view_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_68", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_27", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_68" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_103", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_27" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_15", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_214", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_103" + }, + { + "tensor": "sigmoid_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_120", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_214" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_168", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_158" + }, + { + "tensor": "linear_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_52", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_168" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_51", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_52" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_169", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_51" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_75", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_169" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_215", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_168" + }, + { + "tensor": "rsqrt_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_170", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_216", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_215" + }, + { + "tensor": "add_170" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_39", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_216" + }, + { + "tensor": "add_168" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_121", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_39" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_39", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_122", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_39" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_217", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_39" + }, + { + "tensor": "linear_122" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_123", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_217" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_171", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_168" + }, + { + "tensor": "linear_123" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_53", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_171" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_52", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_53" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_172", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_52" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_76", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_172" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_218", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_171" + }, + { + "tensor": "rsqrt_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_173", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_219", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_218" + }, + { + "tensor": "add_173" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_40", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_219" + }, + { + "tensor": "add_171" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_124", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_69", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_124" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_125", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_104", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_125" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_126", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_127", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_29", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_32" + }, + { + "tensor": "transpose_69" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_146", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_29" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_12", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_32", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_12" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_12", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_29" + }, + { + "tensor": "unsqueeze_32" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_147", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_12" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_40", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_148", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_40" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_70", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_148" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_149", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_150", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_151", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_105", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_149" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_106", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_150" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_107", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_151" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_16", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_12", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_20", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_174", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_127" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_12", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_174" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_220", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_20" + }, + { + "tensor": "softplus_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_221", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_105" + }, + { + "tensor": "view_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_25", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_221" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_175", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_25" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_77", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_175" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_222", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_105" + }, + { + "tensor": "rsqrt_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_223", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_106" + }, + { + "tensor": "view_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_26", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_223" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_176", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_26" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_78", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_176" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_224", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_106" + }, + { + "tensor": "rsqrt_78" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_12", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_222" + }, + { + "tensor": "mul_224" + }, + { + "tensor": "view_107" + }, + { + "tensor": "mul_220" + }, + { + "tensor": "sigmoid_16" + }, + { + "tensor": "states_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_152", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_12" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_153", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_12" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_71", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_153" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_28", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_71" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_108", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_28" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_109", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_104" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_54", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_108" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_53", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_54" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_177", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_53" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_79", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_225", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_108" + }, + { + "tensor": "rsqrt_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_226", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_norm_weight" + }, + { + "tensor": "mul_225" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_41", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_227", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_226" + }, + { + "tensor": "silu_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_110", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_227" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_128", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_110" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_178", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_171" + }, + { + "tensor": "linear_128" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_55", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_178" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_54", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_55" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_179", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_54" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_80", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_179" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_228", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_178" + }, + { + "tensor": "rsqrt_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_180", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_229", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_228" + }, + { + "tensor": "add_180" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_41", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_229" + }, + { + "tensor": "add_178" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_129", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_41" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_42", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_130", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_41" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_230", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_42" + }, + { + "tensor": "linear_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_131", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_230" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_181", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_178" + }, + { + "tensor": "linear_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_56", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_181" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_55", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_56" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_182", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_55" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_81", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_182" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_231", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_181" + }, + { + "tensor": "rsqrt_81" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_183", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_232", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_231" + }, + { + "tensor": "add_183" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_42", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_232" + }, + { + "tensor": "add_181" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_132", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_72", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_132" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_133", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_111", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_133" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_134", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_135", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_30", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_34" + }, + { + "tensor": "transpose_72" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_154", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_30" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_13", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_33", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_13" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_13", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_30" + }, + { + "tensor": "unsqueeze_33" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_155", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_13" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_43", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_155" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_156", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_43" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_73", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_156" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_157", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_158", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_159", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_112", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_157" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_113", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_158" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_114", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_159" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_17", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_134" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_13", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_21", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_184", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_135" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_13", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_233", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_21" + }, + { + "tensor": "softplus_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_234", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_112" + }, + { + "tensor": "view_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_27", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_234" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_185", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_27" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_82", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_185" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_235", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_112" + }, + { + "tensor": "rsqrt_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_236", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_113" + }, + { + "tensor": "view_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_28", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_236" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_186", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_28" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_83", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_186" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_237", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_113" + }, + { + "tensor": "rsqrt_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_13", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_235" + }, + { + "tensor": "mul_237" + }, + { + "tensor": "view_114" + }, + { + "tensor": "mul_233" + }, + { + "tensor": "sigmoid_17" + }, + { + "tensor": "states_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_160", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_13" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_161", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_13" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_74", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_161" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_29", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_74" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_115", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_29" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_116", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_111" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_57", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_115" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_56", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_57" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_187", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_56" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_84", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_187" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_238", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_115" + }, + { + "tensor": "rsqrt_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_239", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_norm_weight" + }, + { + "tensor": "mul_238" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_44", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_240", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_239" + }, + { + "tensor": "silu_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_117", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_240" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_136", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_117" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_188", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_181" + }, + { + "tensor": "linear_136" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_58", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_188" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_57", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_58" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_189", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_57" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_85", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_189" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_241", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_188" + }, + { + "tensor": "rsqrt_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_190", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_242", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_241" + }, + { + "tensor": "add_190" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_43", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_242" + }, + { + "tensor": "add_188" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_137", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_43" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_45", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_137" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_138", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_43" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_243", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_45" + }, + { + "tensor": "linear_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_139", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_243" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_191", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_188" + }, + { + "tensor": "linear_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_59", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_191" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_58", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_59" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_192", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_58" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_86", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_192" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_244", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_191" + }, + { + "tensor": "rsqrt_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_193", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_245", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_244" + }, + { + "tensor": "add_193" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_44", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_245" + }, + { + "tensor": "add_191" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_140", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_75", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_140" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_141", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_118", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_141" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_142", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_143", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_31", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_36" + }, + { + "tensor": "transpose_75" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_162", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_31" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_14", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_34", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_14" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_14", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_31" + }, + { + "tensor": "unsqueeze_34" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_163", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_14" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_46", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_163" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_164", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_46" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_76", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_164" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_165", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_166", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_167", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_119", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_165" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_120", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_166" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_121", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_167" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_18", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_14", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_22", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_194", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_143" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_14", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_194" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_246", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_22" + }, + { + "tensor": "softplus_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_247", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_119" + }, + { + "tensor": "view_119" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_29", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_247" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_195", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_29" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_87", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_195" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_248", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_119" + }, + { + "tensor": "rsqrt_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_249", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_120" + }, + { + "tensor": "view_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_30", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_249" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_196", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_30" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_88", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_196" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_250", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_120" + }, + { + "tensor": "rsqrt_88" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_14", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_248" + }, + { + "tensor": "mul_250" + }, + { + "tensor": "view_121" + }, + { + "tensor": "mul_246" + }, + { + "tensor": "sigmoid_18" + }, + { + "tensor": "states_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_168", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_14" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_169", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_14" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_77", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_169" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_30", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_77" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_122", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_30" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_123", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_118" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_60", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_122" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_59", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_60" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_197", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_59" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_89", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_251", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_122" + }, + { + "tensor": "rsqrt_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_252", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_norm_weight" + }, + { + "tensor": "mul_251" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_47", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_123" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_253", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_252" + }, + { + "tensor": "silu_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_124", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_253" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_144", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_124" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_198", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_191" + }, + { + "tensor": "linear_144" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_61", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_198" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_60", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_61" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_199", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_60" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_90", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_199" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_254", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_198" + }, + { + "tensor": "rsqrt_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_200", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_255", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_254" + }, + { + "tensor": "add_200" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_45", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_255" + }, + { + "tensor": "add_198" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_145", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_45" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_48", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_146", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_45" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_256", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_48" + }, + { + "tensor": "linear_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_147", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_256" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_201", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_198" + }, + { + "tensor": "linear_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_62", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_201" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_61", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_62" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_202", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_61" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_91", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_202" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_257", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_201" + }, + { + "tensor": "rsqrt_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_203", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_258", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_257" + }, + { + "tensor": "add_203" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_46", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_258" + }, + { + "tensor": "add_201" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_148", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_125", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_148" + }, + [ + 1, + 16, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_170", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_125" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_171", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_125" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_31", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_171" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_12", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_31" + }, + [ + 1, + 16, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_126", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_170" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_63", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_126" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_62", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_63" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_204", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_62" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_92", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_204" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_259", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_126" + }, + { + "tensor": "rsqrt_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_205", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_260", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_259" + }, + { + "tensor": "add_205" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_47", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_260" + }, + { + "tensor": "view_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_78", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_47" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_149", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_127", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_149" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_64", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_127" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_63", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_64" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_206", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_63" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_93", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_206" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_261", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_127" + }, + { + "tensor": "rsqrt_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_207", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_262", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_261" + }, + { + "tensor": "add_207" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_48", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_262" + }, + { + "tensor": "view_127" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_79", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_48" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_150", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_128", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_150" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_80", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_128" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_35", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_36", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_172", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_78" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_173", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_78" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_174", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_79" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_175", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_79" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_263", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + { + "tensor": "unsqueeze_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_176", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_177", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_23", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_32", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_23" + }, + { + "tensor": "slice_176" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_264", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_32" + }, + { + "tensor": "unsqueeze_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_208", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_263" + }, + { + "tensor": "mul_264" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_265", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + { + "tensor": "unsqueeze_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_178", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_179", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_24", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_179" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_33", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_24" + }, + { + "tensor": "slice_178" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_266", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_33" + }, + { + "tensor": "unsqueeze_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_209", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_265" + }, + { + "tensor": "mul_266" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_34", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_208" + }, + { + "tensor": "slice_173" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_35", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_209" + }, + { + "tensor": "slice_175" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_8", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_38" + }, + { + "tensor": "cat_35" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_9", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_39" + }, + { + "tensor": "transpose_80" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_37", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_8" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_9", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_37" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_32", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_9" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_13", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_32" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_38", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_9" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_10", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_38" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_33", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_10" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_14", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_33" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_81", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_13" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_9", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_34" + }, + { + "tensor": "transpose_81" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_267", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_9" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_210", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_267" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_4", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_210" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_10", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_4" + }, + { + "tensor": "_unsafe_view_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_82", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_10" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_34", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_82" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_129", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_34" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_19", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_268", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_129" + }, + { + "tensor": "sigmoid_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_151", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_268" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_211", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_201" + }, + { + "tensor": "linear_151" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_65", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_211" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_64", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_65" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_212", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_64" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_94", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_212" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_269", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_211" + }, + { + "tensor": "rsqrt_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_213", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_270", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_269" + }, + { + "tensor": "add_213" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_49", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_270" + }, + { + "tensor": "add_211" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_152", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_49" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_49", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_153", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_49" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_271", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_49" + }, + { + "tensor": "linear_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_154", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_271" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_214", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_211" + }, + { + "tensor": "linear_154" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_66", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_214" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_65", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_66" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_215", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_65" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_95", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_215" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_272", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_214" + }, + { + "tensor": "rsqrt_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_216", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_273", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_272" + }, + { + "tensor": "add_216" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_50", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_273" + }, + { + "tensor": "add_214" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_155", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_83", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_155" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_156", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_130", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_156" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_157", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_158", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_36", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_40" + }, + { + "tensor": "transpose_83" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_180", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_36" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_15", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_39", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_15" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_15", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_36" + }, + { + "tensor": "unsqueeze_39" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_181", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_15" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_50", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_181" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_182", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_50" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_84", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_182" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_183", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_184", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_185", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_131", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_183" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_132", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_184" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_133", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_185" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_20", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_157" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_15", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_25", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_217", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_158" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_15", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_217" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_274", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_25" + }, + { + "tensor": "softplus_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_275", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_131" + }, + { + "tensor": "view_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_31", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_275" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_218", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_31" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_96", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_218" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_276", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_131" + }, + { + "tensor": "rsqrt_96" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_277", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_132" + }, + { + "tensor": "view_132" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_32", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_277" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_219", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_32" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_97", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_219" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_278", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_132" + }, + { + "tensor": "rsqrt_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_15", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_276" + }, + { + "tensor": "mul_278" + }, + { + "tensor": "view_133" + }, + { + "tensor": "mul_274" + }, + { + "tensor": "sigmoid_20" + }, + { + "tensor": "states_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_186", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_15" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_187", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_15" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_85", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_187" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_35", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_85" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_134", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_35" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_135", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_130" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_67", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_134" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_66", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_67" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_220", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_66" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_98", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_220" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_279", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_134" + }, + { + "tensor": "rsqrt_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_280", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_norm_weight" + }, + { + "tensor": "mul_279" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_51", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_135" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_281", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_280" + }, + { + "tensor": "silu_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_136", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_281" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_159", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_136" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_221", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_214" + }, + { + "tensor": "linear_159" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_68", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_221" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_67", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_68" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_222", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_67" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_99", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_222" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_282", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_221" + }, + { + "tensor": "rsqrt_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_223", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_283", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_282" + }, + { + "tensor": "add_223" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_51", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_283" + }, + { + "tensor": "add_221" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_160", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_51" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_52", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_160" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_161", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_51" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_284", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_52" + }, + { + "tensor": "linear_161" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_162", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_284" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_224", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_221" + }, + { + "tensor": "linear_162" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_69", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_224" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_68", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_69" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_225", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_68" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_100", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_225" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_285", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_224" + }, + { + "tensor": "rsqrt_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_226", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_286", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_285" + }, + { + "tensor": "add_226" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_52", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_286" + }, + { + "tensor": "add_224" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_163", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_86", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_163" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_164", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_137", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_164" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_165", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_166", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_37", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_42" + }, + { + "tensor": "transpose_86" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_188", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_37" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_16", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_40", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_16" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_16", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_37" + }, + { + "tensor": "unsqueeze_40" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_189", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_16" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_53", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_189" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_190", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_53" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_87", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_190" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_191", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_192", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_193", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_138", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_191" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_139", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_192" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_140", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_193" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_21", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_165" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_16", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_26", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_227", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_166" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_16", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_227" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_287", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_26" + }, + { + "tensor": "softplus_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_288", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_138" + }, + { + "tensor": "view_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_33", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_288" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_228", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_33" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_101", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_228" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_289", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_138" + }, + { + "tensor": "rsqrt_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_290", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_139" + }, + { + "tensor": "view_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_34", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_290" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_229", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_34" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_102", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_229" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_291", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_139" + }, + { + "tensor": "rsqrt_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_16", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_289" + }, + { + "tensor": "mul_291" + }, + { + "tensor": "view_140" + }, + { + "tensor": "mul_287" + }, + { + "tensor": "sigmoid_21" + }, + { + "tensor": "states_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_194", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_16" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_195", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_16" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_88", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_195" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_36", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_88" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_141", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_36" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_142", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_137" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_70", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_141" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_69", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_70" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_230", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_69" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_103", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_230" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_292", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_141" + }, + { + "tensor": "rsqrt_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_293", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_norm_weight" + }, + { + "tensor": "mul_292" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_54", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_294", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_293" + }, + { + "tensor": "silu_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_143", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_294" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_167", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_143" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_231", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_224" + }, + { + "tensor": "linear_167" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_71", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_231" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_70", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_71" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_232", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_70" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_104", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_232" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_295", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_231" + }, + { + "tensor": "rsqrt_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_233", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_296", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_295" + }, + { + "tensor": "add_233" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_53", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_296" + }, + { + "tensor": "add_231" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_168", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_53" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_55", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_168" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_169", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_53" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_297", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_55" + }, + { + "tensor": "linear_169" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_170", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_297" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_234", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_231" + }, + { + "tensor": "linear_170" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_72", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_234" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_71", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_72" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_235", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_71" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_105", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_235" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_298", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_234" + }, + { + "tensor": "rsqrt_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_236", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_299", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_298" + }, + { + "tensor": "add_236" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_54", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_299" + }, + { + "tensor": "add_234" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_171", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_89", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_171" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_172", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_144", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_172" + }, + [ + 1, + 16, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_173", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_174", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_38", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_44" + }, + { + "tensor": "transpose_89" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_196", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_38" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_17", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_41", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_17" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_17", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_38" + }, + { + "tensor": "unsqueeze_41" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_197", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_17" + }, + 2, + 0, + 20 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_56", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_198", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_56" + }, + 2, + -16, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_90", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_198" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_199", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_200", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_201", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_145", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_199" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_146", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_200" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_147", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_201" + }, + [ + 1, + 16, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_22", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_173" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_17", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_27", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_237", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_174" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_17", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_237" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_300", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_27" + }, + { + "tensor": "softplus_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_301", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_145" + }, + { + "tensor": "view_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_35", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_301" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_238", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_35" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_106", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_238" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_302", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_145" + }, + { + "tensor": "rsqrt_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_303", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_146" + }, + { + "tensor": "view_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_36", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_303" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_239", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_36" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_107", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_239" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_304", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_146" + }, + { + "tensor": "rsqrt_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_17", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_302" + }, + { + "tensor": "mul_304" + }, + { + "tensor": "view_147" + }, + { + "tensor": "mul_300" + }, + { + "tensor": "sigmoid_22" + }, + { + "tensor": "states_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_202", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_17" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_203", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_17" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_91", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_203" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_37", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_91" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_148", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_37" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_149", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_144" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_73", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_148" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_72", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_73" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_240", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_72" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_108", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_240" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_305", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_148" + }, + { + "tensor": "rsqrt_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_306", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_norm_weight" + }, + { + "tensor": "mul_305" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_57", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_149" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_307", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_306" + }, + { + "tensor": "silu_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_150", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_307" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_175", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_150" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_241", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_234" + }, + { + "tensor": "linear_175" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_74", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_241" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_73", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_74" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_242", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_73" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_109", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_242" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_308", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_241" + }, + { + "tensor": "rsqrt_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_243", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_309", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_308" + }, + { + "tensor": "add_243" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_55", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_309" + }, + { + "tensor": "add_241" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_176", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_55" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_58", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_176" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_177", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_55" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_310", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_58" + }, + { + "tensor": "linear_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_178", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_310" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_244", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_241" + }, + { + "tensor": "linear_178" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_75", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_244" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_74", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_75" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_245", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_74" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_110", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_245" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_311", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_244" + }, + { + "tensor": "rsqrt_110" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_246", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_312", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_311" + }, + { + "tensor": "add_246" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_56", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_312" + }, + { + "tensor": "add_244" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_179", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_151", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_179" + }, + [ + 1, + 16, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_204", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_151" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_205", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_151" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_38", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_205" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_15", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_38" + }, + [ + 1, + 16, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_152", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_204" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_76", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_152" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_75", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_76" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_247", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_75" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_111", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_247" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_313", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_152" + }, + { + "tensor": "rsqrt_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_248", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_314", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_313" + }, + { + "tensor": "add_248" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_57", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_314" + }, + { + "tensor": "view_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_92", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_57" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_180", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_153", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_180" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_77", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_153" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_76", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_77" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_249", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_76" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_112", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_249" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_315", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_153" + }, + { + "tensor": "rsqrt_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_250", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_316", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_315" + }, + { + "tensor": "add_250" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_58", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_316" + }, + { + "tensor": "view_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_93", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_58" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_181", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_154", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_181" + }, + [ + 1, + 16, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_94", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_154" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_42", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_43", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_206", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_92" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_207", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_92" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_208", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_93" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_209", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_93" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_317", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + { + "tensor": "unsqueeze_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_210", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_211", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_28", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_211" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_39", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_28" + }, + { + "tensor": "slice_210" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_318", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_39" + }, + { + "tensor": "unsqueeze_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_251", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_317" + }, + { + "tensor": "mul_318" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_319", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + { + "tensor": "unsqueeze_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_212", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_213", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_29", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_213" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_40", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_29" + }, + { + "tensor": "slice_212" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_320", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_40" + }, + { + "tensor": "unsqueeze_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_252", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_319" + }, + { + "tensor": "mul_320" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_41", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_251" + }, + { + "tensor": "slice_207" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_42", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_252" + }, + { + "tensor": "slice_209" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_10", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_46" + }, + { + "tensor": "cat_42" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_11", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_47" + }, + { + "tensor": "transpose_94" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_44", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_10" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_11", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_44" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_39", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_11" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_16", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_39" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_45", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_11" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_12", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_45" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_40", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_12" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_17", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_40" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_95", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_16" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_11", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_41" + }, + { + "tensor": "transpose_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_321", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_11" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_253", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_321" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_5", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_253" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_12", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_5" + }, + { + "tensor": "_unsafe_view_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_96", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_12" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_41", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_96" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_155", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_41" + }, + [ + 1, + 16, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_23", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_322", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_155" + }, + { + "tensor": "sigmoid_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_182", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_322" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_254", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_244" + }, + { + "tensor": "linear_182" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_78", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_254" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_77", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_78" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_255", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_77" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_113", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_255" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_323", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_254" + }, + { + "tensor": "rsqrt_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_256", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_324", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_323" + }, + { + "tensor": "add_256" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_59", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_324" + }, + { + "tensor": "add_254" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_183", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_59" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_59", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_183" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_184", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_59" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_325", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_59" + }, + { + "tensor": "linear_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_185", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_325" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_257", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_254" + }, + { + "tensor": "linear_185" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_79", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_257" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_78", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_79" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_258", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_78" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_114", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_258" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_326", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_257" + }, + { + "tensor": "rsqrt_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_259", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_327", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_326" + }, + { + "tensor": "add_259" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_60", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_327" + }, + { + "tensor": "add_257" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "alias", + "op": "aten.alias.default", + "args": [ + { + "tensor": "type_as_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1787, in forward\n logits = self.lm_head(hidden_states[:, slice_indices, :])\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_186", + "op": "aten.linear.default", + "args": [ + { + "tensor": "alias" + }, + { + "tensor": "p_model_model_language_model_embed_tokens_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1787, in forward\n logits = self.lm_head(hidden_states[:, slice_indices, :])\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + } + ], + "quantization": [], + "states": [ + { + "input": "states_0", + "output": "slice_10", + "kind": "convolution" + }, + { + "input": "states_1", + "output": "slice_16", + "kind": "recurrent" + }, + { + "input": "states_2", + "output": "slice_18", + "kind": "convolution" + }, + { + "input": "states_3", + "output": "slice_24", + "kind": "recurrent" + }, + { + "input": "states_4", + "output": "slice_26", + "kind": "convolution" + }, + { + "input": "states_5", + "output": "slice_32", + "kind": "recurrent" + }, + { + "input": "states_6", + "output": "cache_update", + "kind": "kv" + }, + { + "input": "states_7", + "output": "cache_update_1", + "kind": "kv" + }, + { + "input": "states_8", + "output": "slice_44", + "kind": "convolution" + }, + { + "input": "states_9", + "output": "slice_50", + "kind": "recurrent" + }, + { + "input": "states_10", + "output": "slice_52", + "kind": "convolution" + }, + { + "input": "states_11", + "output": "slice_58", + "kind": "recurrent" + }, + { + "input": "states_12", + "output": "slice_60", + "kind": "convolution" + }, + { + "input": "states_13", + "output": "slice_66", + 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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 146, in forward\n text_embedding = self.model.get_input_embeddings()(input_ids)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "where", + "op": "aten.where.self", + "args": [ + { + "tensor": "is_image" + }, + { + "tensor": "image_embedding" + }, + { + "tensor": "embedding" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 147, in forward\n embedding = torch.where(is_image, image_embedding, text_embedding)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_1", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "position_ids" + }, + 0, + 1, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1183, in forward\n position_ids = position_ids[1:]\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "b_model_model_language_model_rotary_emb_inv_freq" + }, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 5, in forward\n unsqueeze = torch.ops.aten.unsqueeze.default(b_model_model_language_model_rotary_emb_inv_freq, 0); b_model_model_language_model_rotary_emb_inv_freq = None" + }, + { + "id": "unsqueeze_1", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "unsqueeze" + }, + 1 + ], + "kwargs": {}, + "source": "File \".49\", line 6, in forward\n unsqueeze_1 = torch.ops.aten.unsqueeze.default(unsqueeze, 1); unsqueeze = None" + }, + { + "id": "unsqueeze_2", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "unsqueeze_1" + }, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 7, in forward\n unsqueeze_2 = torch.ops.aten.unsqueeze.default(unsqueeze_1, 3); unsqueeze_1 = None" + }, + { + "id": "expand", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_2" + }, + [ + 3, + 1, + -1, + 1 + ] + ], + "kwargs": {}, + "source": "File \".49\", line 10, in forward\n expand = torch.ops.aten.expand.default(to, [3, 1, -1, 1]); to = None" + }, + { + "id": "unsqueeze_3", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "slice_1" + }, + 2 + ], + "kwargs": {}, + "source": "File \".49\", line 13, in forward\n unsqueeze_3 = torch.ops.aten.unsqueeze.default(slice_1, 2); slice_1 = None" + }, + { + "id": "_to_copy", + "op": "aten._to_copy.default", + "args": [ + { + "tensor": "unsqueeze_3" + } + ], + "kwargs": { + "dtype": { + "dtype": "float32" + } + }, + "source": "File \".49\", line 15, in forward\n to_2 = torch.ops.aten.to.dtype(unsqueeze_3, torch.float32); unsqueeze_3 = None" + }, + { + "id": "matmul", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "expand" + }, + { + "tensor": "_to_copy" + } + ], + "kwargs": {}, + "source": "File \".49\", line 20, in forward\n matmul = torch.ops.aten.matmul.default(to_3, to_4); to_3 = to_4 = None" + }, + { + "id": "transpose", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 21, in forward\n transpose = torch.ops.aten.transpose.int(matmul, 2, 3); matmul = None" + }, + { + "id": "select", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "select_1", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose" + }, + 0, + 1 + ], + "kwargs": {}, + "source": "File \".49\", line 23, in forward\n select_1 = torch.ops.aten.select.int(transpose, 0, 1)" + }, + { + "id": "slice_2", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_1" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 24, in forward\n slice_2 = torch.ops.aten.slice.Tensor(select_1, 2, 1, 33, 3); select_1 = None" + }, + { + "id": "slice_3", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 25, in forward\n slice_3 = torch.ops.aten.slice.Tensor(select, 2, 1, 33, 3)" + }, + { + "id": "copy", + "op": "aten.copy.default", + "args": [ + { + "tensor": "slice_3" + }, + { + "tensor": "slice_2" + } + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_1", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "select_2", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_1" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "slice_scatter", + "op": "aten.slice_scatter.default", + "args": [ + { + "tensor": "select_2" + }, + { + "tensor": "copy" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "select_scatter", + "op": "aten.select_scatter.default", + "args": [ + { + "tensor": "transpose_1" + }, + { + "tensor": "slice_scatter" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_2", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "select_scatter" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_7", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "select_7", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_7" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "slice_7", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_7" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "transpose_8", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "select_8", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_8" + }, + 0, + 2 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "slice_8", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_8" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "copy_1", + "op": "aten.copy.default", + "args": [ + { + "tensor": "slice_7" + }, + { + "tensor": "slice_8" + } + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_9", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "select_9", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_9" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "slice_scatter_1", + "op": "aten.slice_scatter.default", + "args": [ + { + "tensor": "select_9" + }, + { + "tensor": "copy_1" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "select_scatter_1", + "op": "aten.select_scatter.default", + "args": [ + { + "tensor": "transpose_9" + }, + { + "tensor": "slice_scatter_1" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_10", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "select_scatter_1" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_12", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_10" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "select_11", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_12" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "cat", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "select_11" + }, + { + "tensor": "select_11" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \".49\", line 31, in forward\n cat = torch.ops.aten.cat.default([select, select], -1); select = None" + }, + { + "id": "cos", + "op": "aten.cos.default", + "args": [ + { + "tensor": "cat" + } + ], + "kwargs": {}, + "source": "File \".49\", line 32, in forward\n cos = torch.ops.aten.cos.default(cat)" + }, + { + "id": "mul", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cos" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \".49\", line 33, in forward\n mul = torch.ops.aten.mul.Tensor(cos, 1.0); cos = None" + }, + { + "id": "sin", + "op": "aten.sin.default", + "args": [ + { + "tensor": "cat" + } + ], + "kwargs": {}, + "source": "File \".49\", line 34, in forward\n sin = torch.ops.aten.sin.default(cat); cat = None" + }, + { + "id": "mul_1", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "sin" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \".49\", line 35, in forward\n mul_1 = torch.ops.aten.mul.Tensor(sin, 1.0); sin = None" + }, + { + "id": "pow_1", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "where" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_1" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_2", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "where" + }, + { + "tensor": "rsqrt" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_1", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_3", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_2" + }, + { + "tensor": "add_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_3" + }, + { + "tensor": "where" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_13", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_1", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_1" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_2", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_3", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_1", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_0" + }, + { + "tensor": "transpose_13" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_10", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_1" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_4", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_1" + }, + { + "tensor": "unsqueeze_4" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_11", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_12", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_14", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_12" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_13", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_14", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_15", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_1", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_13" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_2", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_14" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_3", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_15" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_2", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_3" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_4", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg" + }, + { + "tensor": "softplus" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_5", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_1" + }, + { + "tensor": "view_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_1", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_5" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_3", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_1" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_1", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_6", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_1" + }, + { + "tensor": "rsqrt_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_7", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_2" + }, + { + "tensor": "view_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_2", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_7" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_4", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_2" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_2", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_8", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_2" + }, + { + "tensor": "rsqrt_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_6" + }, + { + "tensor": "mul_8" + }, + { + "tensor": "view_3" + }, + { + "tensor": "mul_4" + }, + { + "tensor": "sigmoid" + }, + { + "tensor": "states_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_16", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_17", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_15", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_17" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_15" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_4", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_5", + "op": "aten.view.default", + "args": [ + { + "tensor": "view" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_2", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_4" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_1", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_2" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_5", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_1" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_3", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_9", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_4" + }, + { + "tensor": "rsqrt_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_10", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_norm_weight" + }, + { + "tensor": "mul_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_1", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_11", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_10" + }, + { + "tensor": "silu_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_6", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_11" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_4", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_6" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_6", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "where" + }, + { + "tensor": "linear_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_3", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_6" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_2", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_3" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_7", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_2" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_4", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_12", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_6" + }, + { + "tensor": "rsqrt_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_8", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_13", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_12" + }, + { + "tensor": "add_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_1", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_13" + }, + { + "tensor": "add_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_5", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_1" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_2", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_6", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_1" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_14", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_2" + }, + { + "tensor": "linear_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_7", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_14" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_9", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_6" + }, + { + "tensor": "linear_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_4", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_9" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_3", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_4" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_10", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_3" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_5", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_15", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_9" + }, + { + "tensor": "rsqrt_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_11", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_16", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_15" + }, + { + "tensor": "add_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_2", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_16" + }, + { + "tensor": "add_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_8", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_16", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_9", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_7", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_9" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_10", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_11", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_2", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_2" + }, + { + "tensor": "transpose_16" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_18", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_2" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_1", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_5", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_1", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_2" + }, + { + "tensor": "unsqueeze_5" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_19", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_1" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_3", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_20", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_3" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_17", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_20" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_21", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_22", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_23", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_8", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_21" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_9", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_22" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_10", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_23" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_1", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_1", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_1", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_12", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_11" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_1", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_17", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_1" + }, + { + "tensor": "softplus_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_18", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_8" + }, + { + "tensor": "view_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_3", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_18" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_13", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_3" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_6", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_19", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_8" + }, + { + "tensor": "rsqrt_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_20", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_9" + }, + { + "tensor": "view_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_4", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_20" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_14", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_4" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_7", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_21", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_9" + }, + { + "tensor": "rsqrt_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_1", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_19" + }, + { + "tensor": "mul_21" + }, + { + "tensor": "view_10" + }, + { + "tensor": "mul_17" + }, + { + "tensor": "sigmoid_1" + }, + { + "tensor": "states_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_24", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_1" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_25", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_1" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_18", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_25" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_1", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_18" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_11", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_1" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_12", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_7" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_5", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_11" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_4", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_5" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_15", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_4" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_8", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_22", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_11" + }, + { + "tensor": "rsqrt_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_23", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_norm_weight" + }, + { + "tensor": "mul_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_4", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_24", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_23" + }, + { + "tensor": "silu_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_13", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_24" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_12", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_13" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_16", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_9" + }, + { + "tensor": "linear_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_6", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_16" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_5", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_6" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_17", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_5" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_9", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_25", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_16" + }, + { + "tensor": "rsqrt_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_18", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_26", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_25" + }, + { + "tensor": "add_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_3", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_26" + }, + { + "tensor": "add_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_13", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_3" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_5", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_14", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_3" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_27", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_5" + }, + { + "tensor": "linear_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_15", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_27" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_19", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_16" + }, + { + "tensor": "linear_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_7", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_19" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_6", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_7" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_20", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_6" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_10", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_28", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_19" + }, + { + "tensor": "rsqrt_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_21", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_29", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_28" + }, + { + "tensor": "add_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_4", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_29" + }, + { + "tensor": "add_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_16", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_19", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_16" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_17", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_14", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_17" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_18", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_19", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_3", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_4" + }, + { + "tensor": "transpose_19" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_26", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_3" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_2", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_6", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_2" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_2", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_3" + }, + { + "tensor": "unsqueeze_6" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_27", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_2" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_6", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_28", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_6" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_20", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_28" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_29", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_30", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_31", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_15", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_29" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_16", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_30" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_17", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_31" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_2", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_2", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_2", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_22", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_19" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_2", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_30", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_2" + }, + { + "tensor": "softplus_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_31", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_15" + }, + { + "tensor": "view_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_5", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_31" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_23", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_5" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_11", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_32", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_15" + }, + { + "tensor": "rsqrt_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_33", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_16" + }, + { + "tensor": "view_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_6", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_33" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_24", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_6" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_12", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_34", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_16" + }, + { + "tensor": "rsqrt_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_2", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_32" + }, + { + "tensor": "mul_34" + }, + { + "tensor": "view_17" + }, + { + "tensor": "mul_30" + }, + { + "tensor": "sigmoid_2" + }, + { + "tensor": "states_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_32", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_2" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_33", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_2" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_21", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_33" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_2", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_21" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_18", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_2" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_19", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_14" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_8", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_18" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_7", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_8" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_25", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_7" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_13", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_35", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_18" + }, + { + "tensor": "rsqrt_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_36", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_norm_weight" + }, + { + "tensor": "mul_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_7", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_37", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_36" + }, + { + "tensor": "silu_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_20", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_37" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_20", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_20" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_26", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_19" + }, + { + "tensor": "linear_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_9", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_26" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_8", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_9" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_27", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_8" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_14", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_38", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_26" + }, + { + "tensor": "rsqrt_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_28", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_39", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_38" + }, + { + "tensor": "add_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_5", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_39" + }, + { + "tensor": "add_26" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_21", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_5" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_8", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_22", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_5" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_40", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_8" + }, + { + "tensor": "linear_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_23", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_40" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_29", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_26" + }, + { + "tensor": "linear_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_10", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_29" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_9", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_10" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_30", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_9" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_15", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_41", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_29" + }, + { + "tensor": "rsqrt_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_31", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_42", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_41" + }, + { + "tensor": "add_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_6", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_42" + }, + { + "tensor": "add_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_24", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_21", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_24" + }, + [ + 1, + 4, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_34", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_21" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_35", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_21" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_3", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_35" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_3" + }, + [ + 1, + 4, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_22", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_34" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_11", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_22" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_10", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_11" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_32", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_10" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_16", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_43", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_22" + }, + { + "tensor": "rsqrt_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_33", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_44", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_43" + }, + { + "tensor": "add_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_7", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_44" + }, + { + "tensor": "view_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_22", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_7" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_25", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_23", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_25" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_12", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_23" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_11", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_12" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_34", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_11" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_17", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_45", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_23" + }, + { + "tensor": "rsqrt_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_35", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_46", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_45" + }, + { + "tensor": "add_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_8", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_46" + }, + { + "tensor": "view_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_23", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_26", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_24", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_26" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_24", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_24" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_7", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_8", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_36", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_22" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_37", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_22" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_38", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_23" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_39", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_23" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_47", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + { + "tensor": "unsqueeze_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_40", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_41", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_3", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_4", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_3" + }, + { + "tensor": "slice_40" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_48", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_4" + }, + { + "tensor": "unsqueeze_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_36", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_47" + }, + { + "tensor": "mul_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_49", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + { + "tensor": "unsqueeze_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_42", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_43", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_4", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_5", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_4" + }, + { + "tensor": "slice_42" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_50", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_5" + }, + { + "tensor": "unsqueeze_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_37", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_49" + }, + { + "tensor": "mul_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_6", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_36" + }, + { + "tensor": "slice_37" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_7", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_37" + }, + { + "tensor": "slice_39" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_6" + }, + { + "tensor": "cat_7" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_1", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_7" + }, + { + "tensor": "transpose_24" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_9", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_1", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_9" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_4", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_1" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_1", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_4" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_10", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_1" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_2", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_10" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_5", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_2" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_2", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_5" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_25", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_1" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_1", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_6" + }, + { + "tensor": "transpose_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_51", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_1" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_38", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_51" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_38" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_2", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax" + }, + { + "tensor": "_unsafe_view_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_26", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_2" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_6", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_26" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_25", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_6" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_3", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_52", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_25" + }, + { + "tensor": "sigmoid_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_27", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_52" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_39", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_29" + }, + { + "tensor": "linear_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_13", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_39" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_12", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_13" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_40", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_12" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_18", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_40" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_53", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_39" + }, + { + "tensor": "rsqrt_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_41", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_54", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_53" + }, + { + "tensor": "add_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_9", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_54" + }, + { + "tensor": "add_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_28", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_9" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_9", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_29", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_9" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_55", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_9" + }, + { + "tensor": "linear_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_30", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_55" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_42", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_39" + }, + { + "tensor": "linear_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_14", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_42" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_13", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_14" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_43", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_13" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_19", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_56", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_42" + }, + { + "tensor": "rsqrt_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_44", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_57", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_56" + }, + { + "tensor": "add_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_10", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_57" + }, + { + "tensor": "add_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_31", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_27", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_31" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_32", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_26", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_32" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_33", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_34", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_8", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_8" + }, + { + "tensor": "transpose_27" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_44", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_8" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_3", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_11", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_3" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_3", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_8" + }, + { + "tensor": "unsqueeze_11" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_45", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_3" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_10", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_46", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_10" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_28", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_46" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_47", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_48", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_49", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_27", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_47" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_28", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_48" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_29", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_49" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_4", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_3", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_5", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_45", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_34" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_3", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_58", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_5" + }, + { + "tensor": "softplus_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_59", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_27" + }, + { + "tensor": "view_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_7", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_59" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_46", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_7" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_20", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_60", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_27" + }, + { + "tensor": "rsqrt_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_61", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_28" + }, + { + "tensor": "view_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_8", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_61" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_47", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_8" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_21", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_62", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_28" + }, + { + "tensor": "rsqrt_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_3", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_60" + }, + { + "tensor": "mul_62" + }, + { + "tensor": "view_29" + }, + { + "tensor": "mul_58" + }, + { + "tensor": "sigmoid_4" + }, + { + "tensor": "states_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_50", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_3" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_51", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_3" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_29", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_51" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_7", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_29" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_30", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_7" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_31", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_26" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_15", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_30" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_14", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_15" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_48", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_14" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_22", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_63", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_30" + }, + { + "tensor": "rsqrt_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_64", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_norm_weight" + }, + { + "tensor": "mul_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_11", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_65", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_64" + }, + { + "tensor": "silu_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_32", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_65" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_35", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_32" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_49", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_42" + }, + { + "tensor": "linear_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_16", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_49" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_15", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_16" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_50", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_15" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_23", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_66", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_49" + }, + { + "tensor": "rsqrt_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_51", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_67", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_66" + }, + { + "tensor": "add_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_11", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_67" + }, + { + "tensor": "add_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_36", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_11" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_12", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_37", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_11" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_68", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_12" + }, + { + "tensor": "linear_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_38", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_68" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_52", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_49" + }, + { + "tensor": "linear_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_17", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_52" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_16", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_17" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_53", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_16" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_24", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_69", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_52" + }, + { + "tensor": "rsqrt_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_54", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_70", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_69" + }, + { + "tensor": "add_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_12", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_70" + }, + { + "tensor": "add_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_39", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_30", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_39" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_40", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_33", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_40" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_41", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_42", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_9", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_10" + }, + { + "tensor": "transpose_30" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_52", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_9" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_4", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_12", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_4" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_4", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_9" + }, + { + "tensor": "unsqueeze_12" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_53", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_4" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_13", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_54", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_13" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_31", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_54" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_55", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_56", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_57", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_34", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_55" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_35", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_56" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_36", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_57" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_5", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_4", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_6", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_55", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_42" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_4", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_55" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_71", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_6" + }, + { + "tensor": "softplus_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_72", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_34" + }, + { + "tensor": "view_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_9", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_72" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_56", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_9" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_25", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_56" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_73", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_34" + }, + { + "tensor": "rsqrt_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_74", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_35" + }, + { + "tensor": "view_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_10", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_74" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_57", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_10" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_26", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_75", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_35" + }, + { + "tensor": "rsqrt_26" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_4", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_73" + }, + { + "tensor": "mul_75" + }, + { + "tensor": "view_36" + }, + { + "tensor": "mul_71" + }, + { + "tensor": "sigmoid_5" + }, + { + "tensor": "states_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_58", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_4" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_59", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_4" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_32", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_59" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_8", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_32" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_37", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_8" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_38", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_33" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_18", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_37" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_17", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_18" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_58", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_17" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_27", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_76", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_37" + }, + { + "tensor": "rsqrt_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_77", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_norm_weight" + }, + { + "tensor": "mul_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_14", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_78", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_77" + }, + { + "tensor": "silu_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_39", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_78" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_43", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_39" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_59", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_52" + }, + { + "tensor": "linear_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_19", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_59" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_18", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_19" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_60", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_18" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_28", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_79", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_59" + }, + { + "tensor": "rsqrt_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_61", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_80", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_79" + }, + { + "tensor": "add_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_13", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_80" + }, + { + "tensor": "add_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_44", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_13" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_15", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_45", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_13" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_81", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_15" + }, + { + "tensor": "linear_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_46", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_81" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_62", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_59" + }, + { + "tensor": "linear_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_20", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_62" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_19", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_20" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_63", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_19" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_29", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_82", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_62" + }, + { + "tensor": "rsqrt_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_64", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_83", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_82" + }, + { + "tensor": "add_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_14", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_83" + }, + { + "tensor": "add_62" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_47", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_33", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_47" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_48", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_40", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_48" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_49", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_50", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_10", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_12" + }, + { + "tensor": "transpose_33" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_60", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_10" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_5", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_13", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_5" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_5", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_10" + }, + { + "tensor": "unsqueeze_13" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_61", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_5" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_16", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_62", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_16" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_34", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_62" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_63", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_64", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_65", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_41", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_63" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_42", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_64" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_43", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_65" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_6", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_5", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_7", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_65", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_50" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_5", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_65" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_84", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_7" + }, + { + "tensor": "softplus_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_85", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_41" + }, + { + "tensor": "view_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_11", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_85" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_66", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_11" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_30", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_86", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_41" + }, + { + "tensor": "rsqrt_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_87", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_42" + }, + { + "tensor": "view_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_12", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_87" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_67", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_12" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_31", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_88", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_42" + }, + { + "tensor": "rsqrt_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_5", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_86" + }, + { + "tensor": "mul_88" + }, + { + "tensor": "view_43" + }, + { + "tensor": "mul_84" + }, + { + "tensor": "sigmoid_6" + }, + { + "tensor": "states_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_66", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_5" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_67", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_5" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_35", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_67" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_9", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_35" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_44", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_9" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_45", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_40" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_21", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_44" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_20", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_21" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_68", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_20" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_32", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_89", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_44" + }, + { + "tensor": "rsqrt_32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_90", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_norm_weight" + }, + { + "tensor": "mul_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_17", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_91", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_90" + }, + { + "tensor": "silu_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_46", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_91" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_51", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_46" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_69", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_62" + }, + { + "tensor": "linear_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_22", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_69" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_21", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_22" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_70", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_21" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_33", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_70" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_92", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_69" + }, + { + "tensor": "rsqrt_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_71", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_93", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_92" + }, + { + "tensor": "add_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_15", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_93" + }, + { + "tensor": "add_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_52", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_15" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_18", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_53", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_15" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_94", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_18" + }, + { + "tensor": "linear_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_54", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_94" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_72", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_69" + }, + { + "tensor": "linear_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_23", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_72" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_22", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_23" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_73", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_22" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_34", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_73" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_95", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_72" + }, + { + "tensor": "rsqrt_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_74", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_96", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_95" + }, + { + "tensor": "add_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_16", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_96" + }, + { + "tensor": "add_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_55", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_47", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_55" + }, + [ + 1, + 4, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_68", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_47" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_69", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_47" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_10", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_69" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_3", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_10" + }, + [ + 1, + 4, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_48", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_68" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_24", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_48" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_23", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_24" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_75", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_23" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_35", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_97", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_48" + }, + { + "tensor": "rsqrt_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_76", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_98", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_97" + }, + { + "tensor": "add_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_17", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_98" + }, + { + "tensor": "view_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_36", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_17" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_56", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_49", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_56" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_25", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_49" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_24", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_25" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_77", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_24" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_36", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_99", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_49" + }, + { + "tensor": "rsqrt_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_78", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_100", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_99" + }, + { + "tensor": "add_78" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_18", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_100" + }, + { + "tensor": "view_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_37", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_18" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_57", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_50", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_57" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_38", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_50" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_14", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_15", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_70", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_36" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_71", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_36" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_72", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_37" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_73", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_37" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_101", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + { + "tensor": "unsqueeze_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_74", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_75", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_8", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_11", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_8" + }, + { + "tensor": "slice_74" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_102", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_11" + }, + { + "tensor": "unsqueeze_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_79", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_101" + }, + { + "tensor": "mul_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_103", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + { + "tensor": "unsqueeze_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_76", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_77", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_9", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_12", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_9" + }, + { + "tensor": "slice_76" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_104", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_12" + }, + { + "tensor": "unsqueeze_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_80", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_103" + }, + { + "tensor": "mul_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_13", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_79" + }, + { + "tensor": "slice_71" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_14", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_80" + }, + { + "tensor": "slice_73" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_2", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_14" + }, + { + "tensor": "cat_14" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_3", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_15" + }, + { + "tensor": "transpose_38" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_16", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_2" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_3", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_16" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_11", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_3" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_4", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_11" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_17", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_3" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_4", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_17" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_12", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_4" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_5", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_12" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_39", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_4" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_3", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_13" + }, + { + "tensor": "transpose_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_105", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_3" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_81", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_105" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_1", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_81" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_4", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_1" + }, + { + "tensor": "_unsafe_view_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_40", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_4" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_13", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_40" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_51", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_13" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_7", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_106", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_51" + }, + { + "tensor": "sigmoid_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_58", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_106" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_82", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_72" + }, + { + "tensor": "linear_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_26", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_82" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_25", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_26" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_83", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_25" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_37", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_107", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_82" + }, + { + "tensor": "rsqrt_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_84", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_108", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_107" + }, + { + "tensor": "add_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_19", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_108" + }, + { + "tensor": "add_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_59", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_19" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_19", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_60", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_19" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_109", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_19" + }, + { + "tensor": "linear_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_61", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_109" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_85", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_82" + }, + { + "tensor": "linear_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_27", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_85" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_26", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_27" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_86", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_26" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_38", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_110", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_85" + }, + { + "tensor": "rsqrt_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_87", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_111", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_110" + }, + { + "tensor": "add_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_20", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_111" + }, + { + "tensor": "add_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_62", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_41", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_62" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_63", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_52", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_63" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_64", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_65", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_15", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_16" + }, + { + "tensor": "transpose_41" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_78", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_15" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_6", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_18", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_6" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_6", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_15" + }, + { + "tensor": "unsqueeze_18" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_79", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_6" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_20", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_80", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_20" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_42", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_80" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_81", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_82", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_83", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_53", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_81" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_54", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_82" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_55", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_83" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_8", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_6", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_10", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_88", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_65" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_6", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_88" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_112", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_10" + }, + { + "tensor": "softplus_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_113", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_53" + }, + { + "tensor": "view_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_13", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_113" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_89", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_13" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_39", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_114", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_53" + }, + { + "tensor": "rsqrt_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_115", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_54" + }, + { + "tensor": "view_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_14", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_115" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_90", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_14" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_40", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_116", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_54" + }, + { + "tensor": "rsqrt_40" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_6", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_114" + }, + { + "tensor": "mul_116" + }, + { + "tensor": "view_55" + }, + { + "tensor": "mul_112" + }, + { + "tensor": "sigmoid_8" + }, + { + "tensor": "states_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_84", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_6" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_85", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_6" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_43", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_85" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_14", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_43" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_56", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_14" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_57", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_52" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_28", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_56" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_27", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_28" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_91", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_27" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_41", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_117", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_56" + }, + { + "tensor": "rsqrt_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_118", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_norm_weight" + }, + { + "tensor": "mul_117" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_21", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_119", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_118" + }, + { + "tensor": "silu_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_58", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_119" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_66", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_58" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_92", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_85" + }, + { + "tensor": "linear_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_29", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_92" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_28", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_29" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_93", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_28" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_42", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_120", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_92" + }, + { + "tensor": "rsqrt_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_94", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_121", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_120" + }, + { + "tensor": "add_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_21", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_121" + }, + { + "tensor": "add_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_67", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_21" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_22", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_68", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_21" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_122", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_22" + }, + { + "tensor": "linear_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_69", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_122" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_95", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_92" + }, + { + "tensor": "linear_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_30", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_95" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_29", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_30" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_96", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_29" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_43", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_96" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_123", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_95" + }, + { + "tensor": "rsqrt_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_97", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_124", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_123" + }, + { + "tensor": "add_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_22", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_124" + }, + { + "tensor": "add_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_70", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_44", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_70" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_71", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_59", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_71" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_72", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_73", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_16", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_18" + }, + { + "tensor": "transpose_44" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_86", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_16" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_7", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_19", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_7" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_7", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_16" + }, + { + "tensor": "unsqueeze_19" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_87", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_7" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_23", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_88", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_23" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_45", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_88" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_89", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_90", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_91", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_60", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_89" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_61", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_90" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_62", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_91" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_9", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_7", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_11", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_98", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_73" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_7", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_125", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_11" + }, + { + "tensor": "softplus_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_126", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_60" + }, + { + "tensor": "view_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_15", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_126" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_99", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_15" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_44", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_127", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_60" + }, + { + "tensor": "rsqrt_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_128", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_61" + }, + { + "tensor": "view_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_16", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_128" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_100", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_16" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_45", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_129", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_61" + }, + { + "tensor": "rsqrt_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_7", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_127" + }, + { + "tensor": "mul_129" + }, + { + "tensor": "view_62" + }, + { + "tensor": "mul_125" + }, + { + "tensor": "sigmoid_9" + }, + { + "tensor": "states_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_92", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_7" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_93", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_7" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_46", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_93" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_15", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_46" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_63", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_15" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_64", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_59" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_31", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_63" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_30", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_31" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_101", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_30" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_46", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_130", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_63" + }, + { + "tensor": "rsqrt_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_131", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_norm_weight" + }, + { + "tensor": "mul_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_24", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_132", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_131" + }, + { + "tensor": "silu_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_65", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_132" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_74", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_65" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_102", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_95" + }, + { + "tensor": "linear_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_32", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_102" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_31", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_32" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_103", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_31" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_47", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_133", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_102" + }, + { + "tensor": "rsqrt_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_104", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_134", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_133" + }, + { + "tensor": "add_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_23", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_134" + }, + { + "tensor": "add_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_75", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_23" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_25", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_76", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_23" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_135", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_25" + }, + { + "tensor": "linear_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_77", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_135" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_105", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_102" + }, + { + "tensor": "linear_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_33", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_105" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_32", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_33" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_106", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_32" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_48", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_136", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_105" + }, + { + "tensor": "rsqrt_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_107", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_137", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_136" + }, + { + "tensor": "add_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_24", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_137" + }, + { + "tensor": "add_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_78", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_47", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_78" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_79", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_66", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_79" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_80", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_81", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_17", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_20" + }, + { + "tensor": "transpose_47" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_94", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_17" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_8", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_20", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_8" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_8", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_17" + }, + { + "tensor": "unsqueeze_20" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_95", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_8" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_26", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_96", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_26" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_48", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_96" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_97", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_98", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_99", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_67", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_97" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_68", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_98" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_69", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_99" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_10", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_8", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_12", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_108", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_81" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_8", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_138", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_12" + }, + { + "tensor": "softplus_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_139", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_67" + }, + { + "tensor": "view_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_17", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_139" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_109", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_17" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_49", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_140", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_67" + }, + { + "tensor": "rsqrt_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_141", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_68" + }, + { + "tensor": "view_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_18", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_141" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_110", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_18" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_50", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_110" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_142", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_68" + }, + { + "tensor": "rsqrt_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_8", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_140" + }, + { + "tensor": "mul_142" + }, + { + "tensor": "view_69" + }, + { + "tensor": "mul_138" + }, + { + "tensor": "sigmoid_10" + }, + { + "tensor": "states_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_100", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_8" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_101", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_8" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_49", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_101" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_16", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_49" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_70", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_16" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_71", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_66" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_34", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_70" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_33", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_34" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_111", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_33" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_51", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_143", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_70" + }, + { + "tensor": "rsqrt_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_144", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_norm_weight" + }, + { + "tensor": "mul_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_27", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_145", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_144" + }, + { + "tensor": "silu_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_72", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_145" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_82", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_72" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_112", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_105" + }, + { + "tensor": "linear_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_35", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_112" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_34", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_35" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_113", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_34" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_52", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_146", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_112" + }, + { + "tensor": "rsqrt_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_114", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_147", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_146" + }, + { + "tensor": "add_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_25", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_147" + }, + { + "tensor": "add_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_83", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_25" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_28", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_84", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_25" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_148", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_28" + }, + { + "tensor": "linear_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_85", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_148" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_115", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_112" + }, + { + "tensor": "linear_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_36", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_115" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_35", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_36" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_116", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_35" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_53", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_149", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_115" + }, + { + "tensor": "rsqrt_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_117", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_150", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_149" + }, + { + "tensor": "add_117" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_26", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_150" + }, + { + "tensor": "add_115" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_86", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_73", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_86" + }, + [ + 1, + 4, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_102", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_73" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_103", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_73" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_17", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_103" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_6", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_17" + }, + [ + 1, + 4, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_74", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_102" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_37", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_74" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_36", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_37" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_118", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_36" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_54", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_118" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_151", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_74" + }, + { + "tensor": "rsqrt_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_119", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_152", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_151" + }, + { + "tensor": "add_119" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_27", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_152" + }, + { + "tensor": "view_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_50", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_27" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_87", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_75", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_87" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_38", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_75" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_37", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_38" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_120", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_37" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_55", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_153", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_75" + }, + { + "tensor": "rsqrt_55" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_121", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_154", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_153" + }, + { + "tensor": "add_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_28", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_154" + }, + { + "tensor": "view_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_51", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_28" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_88", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_76", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_88" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_52", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_76" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_21", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_22", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_104", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_50" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_105", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_50" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_106", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_51" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_107", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_51" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_155", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + { + "tensor": "unsqueeze_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_108", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_109", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_13", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_18", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_13" + }, + { + "tensor": "slice_108" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_156", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_18" + }, + { + "tensor": "unsqueeze_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_122", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_155" + }, + { + "tensor": "mul_156" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_157", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + { + "tensor": "unsqueeze_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_110", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_111", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_14", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_19", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_14" + }, + { + "tensor": "slice_110" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_158", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_19" + }, + { + "tensor": "unsqueeze_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_123", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_157" + }, + { + "tensor": "mul_158" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_20", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_122" + }, + { + "tensor": "slice_105" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_21", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_123" + }, + { + "tensor": "slice_107" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_4", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_22" + }, + { + "tensor": "cat_21" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_5", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_23" + }, + { + "tensor": "transpose_52" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_23", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_4" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_5", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_23" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_18", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_5" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_7", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_18" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_24", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_5" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_6", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_24" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_19", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_6" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_8", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_19" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_53", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_7" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_5", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_20" + }, + { + "tensor": "transpose_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_159", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_5" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_124", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_159" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_2", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_124" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_6", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_2" + }, + { + "tensor": "_unsafe_view_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_54", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_6" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_20", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_54" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_77", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_20" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_11", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_160", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_77" + }, + { + "tensor": "sigmoid_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_89", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_160" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_125", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_115" + }, + { + "tensor": "linear_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_39", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_125" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_38", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_39" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_126", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_38" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_56", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_161", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_125" + }, + { + "tensor": "rsqrt_56" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_127", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_162", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_161" + }, + { + "tensor": "add_127" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_29", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_162" + }, + { + "tensor": "add_125" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_90", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_29" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_29", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_91", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_29" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_163", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_29" + }, + { + "tensor": "linear_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_92", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_163" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_128", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_125" + }, + { + "tensor": "linear_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_40", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_128" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_39", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_40" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_129", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_39" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_57", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_164", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_128" + }, + { + "tensor": "rsqrt_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_130", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_165", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_164" + }, + { + "tensor": "add_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_30", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_165" + }, + { + "tensor": "add_128" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_93", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_55", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_93" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_94", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_78", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_94" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_95", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_96", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_22", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_24" + }, + { + "tensor": "transpose_55" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_112", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_22" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_9", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_25", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_9" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_9", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_22" + }, + { + "tensor": "unsqueeze_25" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_113", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_9" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_30", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_114", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_30" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_56", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_114" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_115", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_116", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_117", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_79", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_115" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_80", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_116" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_81", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_117" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_12", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_9", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_15", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_131", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_96" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_9", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_166", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_15" + }, + { + "tensor": "softplus_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_167", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_79" + }, + { + "tensor": "view_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_19", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_167" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_132", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_19" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_58", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_132" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_168", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_79" + }, + { + "tensor": "rsqrt_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_169", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_80" + }, + { + "tensor": "view_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_20", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_169" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_133", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_20" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_59", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_133" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_170", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_80" + }, + { + "tensor": "rsqrt_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_9", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_168" + }, + { + "tensor": "mul_170" + }, + { + "tensor": "view_81" + }, + { + "tensor": "mul_166" + }, + { + "tensor": "sigmoid_12" + }, + { + "tensor": "states_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_118", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_9" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_119", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_9" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_57", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_119" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_21", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_57" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_82", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_21" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_83", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_78" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_41", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_82" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_40", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_41" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_134", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_40" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_60", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_134" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_171", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_82" + }, + { + "tensor": "rsqrt_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_172", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_norm_weight" + }, + { + "tensor": "mul_171" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_31", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_173", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_172" + }, + { + "tensor": "silu_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_84", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_173" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_97", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_84" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_135", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_128" + }, + { + "tensor": "linear_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_42", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_135" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_41", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_42" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_136", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_41" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_61", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_136" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_174", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_135" + }, + { + "tensor": "rsqrt_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_137", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_175", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_174" + }, + { + "tensor": "add_137" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_31", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_175" + }, + { + "tensor": "add_135" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_98", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_31" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_32", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_99", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_31" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_176", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_32" + }, + { + "tensor": "linear_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_100", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_176" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_138", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_135" + }, + { + "tensor": "linear_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_43", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_138" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_42", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_43" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_139", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_42" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_62", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_177", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_138" + }, + { + "tensor": "rsqrt_62" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_140", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_178", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_177" + }, + { + "tensor": "add_140" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_32", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_178" + }, + { + "tensor": "add_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_101", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_58", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_101" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_102", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_85", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_102" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_103", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_104", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_23", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_26" + }, + { + "tensor": "transpose_58" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_120", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_23" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_10", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_26", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_10" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_10", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_23" + }, + { + "tensor": "unsqueeze_26" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_121", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_10" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_33", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_122", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_33" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_59", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_122" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_123", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_124", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_125", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_86", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_123" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_87", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_124" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_88", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_125" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_13", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_10", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_16", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_141", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_104" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_10", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_141" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_179", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_16" + }, + { + "tensor": "softplus_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_180", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_86" + }, + { + "tensor": "view_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_21", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_180" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_142", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_21" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_63", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_181", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_86" + }, + { + "tensor": "rsqrt_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_182", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_87" + }, + { + "tensor": "view_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_22", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_182" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_143", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_22" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_64", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_183", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_87" + }, + { + "tensor": "rsqrt_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_10", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_181" + }, + { + "tensor": "mul_183" + }, + { + "tensor": "view_88" + }, + { + "tensor": "mul_179" + }, + { + "tensor": "sigmoid_13" + }, + { + "tensor": "states_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_126", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_10" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_127", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_10" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_60", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_127" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_22", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_60" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_89", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_22" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_90", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_85" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_44", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_89" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_43", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_44" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_144", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_43" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_65", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_144" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_184", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_89" + }, + { + "tensor": "rsqrt_65" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_185", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_norm_weight" + }, + { + "tensor": "mul_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_34", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_186", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_185" + }, + { + "tensor": "silu_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_91", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_186" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_105", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_91" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_145", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_138" + }, + { + "tensor": "linear_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_45", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_145" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_44", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_45" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_146", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_44" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_66", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_187", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_145" + }, + { + "tensor": "rsqrt_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_147", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_188", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_187" + }, + { + "tensor": "add_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_33", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_188" + }, + { + "tensor": "add_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_106", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_33" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_35", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_107", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_33" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_189", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_35" + }, + { + "tensor": "linear_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_108", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_189" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_148", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_145" + }, + { + "tensor": "linear_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_46", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_148" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_45", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_46" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_149", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_45" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_67", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_149" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_190", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_148" + }, + { + "tensor": "rsqrt_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_150", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_191", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_190" + }, + { + "tensor": "add_150" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_34", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_191" + }, + { + "tensor": "add_148" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_109", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_61", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_109" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_110", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_92", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_110" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_111", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_112", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_24", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_28" + }, + { + "tensor": "transpose_61" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_128", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_24" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_11", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_27", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_11" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_11", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_24" + }, + { + "tensor": "unsqueeze_27" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_129", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_11" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_36", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_130", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_36" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_62", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_130" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_131", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_132", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_133", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_93", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_131" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_94", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_132" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_95", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_133" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_14", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_11", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_17", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_151", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_112" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_11", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_151" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_192", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_17" + }, + { + "tensor": "softplus_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_193", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_93" + }, + { + "tensor": "view_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_23", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_193" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_152", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_23" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_68", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_194", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_93" + }, + { + "tensor": "rsqrt_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_195", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_94" + }, + { + "tensor": "view_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_24", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_195" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_153", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_24" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_69", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_196", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_94" + }, + { + "tensor": "rsqrt_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_11", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_194" + }, + { + "tensor": "mul_196" + }, + { + "tensor": "view_95" + }, + { + "tensor": "mul_192" + }, + { + "tensor": "sigmoid_14" + }, + { + "tensor": "states_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_134", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_11" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_135", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_11" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_63", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_135" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_23", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_63" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_96", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_23" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_97", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_92" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_47", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_96" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_46", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_47" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_154", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_46" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_70", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_154" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_197", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_96" + }, + { + "tensor": "rsqrt_70" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_198", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_norm_weight" + }, + { + "tensor": "mul_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_37", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_199", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_198" + }, + { + "tensor": "silu_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_98", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_199" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_113", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_98" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_155", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_148" + }, + { + "tensor": "linear_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_48", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_155" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_47", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_48" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_156", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_47" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_71", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_156" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_200", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_155" + }, + { + "tensor": "rsqrt_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_157", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_201", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_200" + }, + { + "tensor": "add_157" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_35", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_201" + }, + { + "tensor": "add_155" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_114", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_35" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_38", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_115", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_35" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_202", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_38" + }, + { + "tensor": "linear_115" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_116", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_202" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_158", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_155" + }, + { + "tensor": "linear_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_49", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_158" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_48", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_49" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_159", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_48" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_72", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_159" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_203", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_158" + }, + { + "tensor": "rsqrt_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_160", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_204", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_203" + }, + { + "tensor": "add_160" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_36", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_204" + }, + { + "tensor": "add_158" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_117", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_99", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_117" + }, + [ + 1, + 4, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_136", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_99" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_137", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_99" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_24", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_137" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_9", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_24" + }, + [ + 1, + 4, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_100", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_136" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_50", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_100" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_49", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_50" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_161", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_49" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_73", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_161" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_205", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_100" + }, + { + "tensor": "rsqrt_73" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_162", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_206", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_205" + }, + { + "tensor": "add_162" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_37", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_206" + }, + { + "tensor": "view_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_64", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_37" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_118", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_101", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_118" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_51", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_101" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_50", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_51" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_163", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_50" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_74", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_163" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_207", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_101" + }, + { + "tensor": "rsqrt_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_164", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_208", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_207" + }, + { + "tensor": "add_164" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_38", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_208" + }, + { + "tensor": "view_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_65", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_38" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_119", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_102", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_119" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_66", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_102" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_28", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_29", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_138", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_64" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_139", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_64" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_140", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_65" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_141", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_65" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_209", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + { + "tensor": "unsqueeze_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_142", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_143", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_18", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_25", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_18" + }, + { + "tensor": "slice_142" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_210", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_25" + }, + { + "tensor": "unsqueeze_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_165", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_209" + }, + { + "tensor": "mul_210" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_211", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + { + "tensor": "unsqueeze_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_144", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_145", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_19", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_26", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_19" + }, + { + "tensor": "slice_144" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_212", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_26" + }, + { + "tensor": "unsqueeze_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_166", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_211" + }, + { + "tensor": "mul_212" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_27", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_165" + }, + { + "tensor": "slice_139" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_28", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_166" + }, + { + "tensor": "slice_141" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_6", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_30" + }, + { + "tensor": "cat_28" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_7", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_31" + }, + { + "tensor": "transpose_66" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_30", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_6" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_7", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_30" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_25", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_7" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_10", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_25" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_31", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_7" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_8", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_31" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_26", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_8" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_11", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_26" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_67", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_10" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_7", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_27" + }, + { + "tensor": "transpose_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_213", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_7" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_167", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_213" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_3", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_167" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_8", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_3" + }, + { + "tensor": "_unsafe_view_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_68", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_27", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_68" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_103", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_27" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_15", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_214", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_103" + }, + { + "tensor": "sigmoid_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_120", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_214" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_168", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_158" + }, + { + "tensor": "linear_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_52", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_168" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_51", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_52" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_169", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_51" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_75", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_169" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_215", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_168" + }, + { + "tensor": "rsqrt_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_170", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_216", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_215" + }, + { + "tensor": "add_170" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_39", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_216" + }, + { + "tensor": "add_168" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_121", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_39" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_39", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_122", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_39" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_217", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_39" + }, + { + "tensor": "linear_122" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_123", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_217" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_171", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_168" + }, + { + "tensor": "linear_123" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_53", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_171" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_52", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_53" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_172", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_52" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_76", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_172" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_218", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_171" + }, + { + "tensor": "rsqrt_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_173", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_219", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_218" + }, + { + "tensor": "add_173" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_40", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_219" + }, + { + "tensor": "add_171" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_124", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_69", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_124" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_125", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_104", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_125" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_126", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_127", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_29", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_32" + }, + { + "tensor": "transpose_69" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_146", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_29" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_12", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_32", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_12" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_12", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_29" + }, + { + "tensor": "unsqueeze_32" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_147", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_12" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_40", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_148", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_40" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_70", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_148" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_149", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_150", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_151", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_105", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_149" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_106", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_150" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_107", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_151" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_16", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_12", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_20", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_174", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_127" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_12", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_174" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_220", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_20" + }, + { + "tensor": "softplus_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_221", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_105" + }, + { + "tensor": "view_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_25", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_221" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_175", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_25" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_77", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_175" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_222", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_105" + }, + { + "tensor": "rsqrt_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_223", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_106" + }, + { + "tensor": "view_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_26", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_223" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_176", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_26" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_78", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_176" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_224", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_106" + }, + { + "tensor": "rsqrt_78" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_12", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_222" + }, + { + "tensor": "mul_224" + }, + { + "tensor": "view_107" + }, + { + "tensor": "mul_220" + }, + { + "tensor": "sigmoid_16" + }, + { + "tensor": "states_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_152", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_12" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_153", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_12" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_71", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_153" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_28", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_71" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_108", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_28" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_109", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_104" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_54", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_108" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_53", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_54" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_177", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_53" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_79", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_225", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_108" + }, + { + "tensor": "rsqrt_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_226", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_norm_weight" + }, + { + "tensor": "mul_225" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_41", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_227", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_226" + }, + { + "tensor": "silu_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_110", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_227" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_128", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_110" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_178", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_171" + }, + { + "tensor": "linear_128" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_55", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_178" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_54", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_55" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_179", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_54" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_80", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_179" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_228", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_178" + }, + { + "tensor": "rsqrt_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_180", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_229", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_228" + }, + { + "tensor": "add_180" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_41", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_229" + }, + { + "tensor": "add_178" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_129", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_41" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_42", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_130", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_41" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_230", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_42" + }, + { + "tensor": "linear_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_131", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_230" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_181", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_178" + }, + { + "tensor": "linear_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_56", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_181" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_55", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_56" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_182", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_55" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_81", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_182" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_231", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_181" + }, + { + "tensor": "rsqrt_81" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_183", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_232", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_231" + }, + { + "tensor": "add_183" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_42", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_232" + }, + { + "tensor": "add_181" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_132", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_72", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_132" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_133", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_111", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_133" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_134", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_135", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_30", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_34" + }, + { + "tensor": "transpose_72" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_154", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_30" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_13", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_33", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_13" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_13", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_30" + }, + { + "tensor": "unsqueeze_33" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_155", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_13" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_43", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_155" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_156", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_43" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_73", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_156" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_157", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_158", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_159", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_112", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_157" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_113", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_158" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_114", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_159" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_17", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_134" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_13", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_21", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_184", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_135" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_13", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_233", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_21" + }, + { + "tensor": "softplus_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_234", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_112" + }, + { + "tensor": "view_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_27", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_234" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_185", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_27" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_82", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_185" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_235", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_112" + }, + { + "tensor": "rsqrt_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_236", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_113" + }, + { + "tensor": "view_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_28", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_236" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_186", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_28" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_83", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_186" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_237", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_113" + }, + { + "tensor": "rsqrt_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_13", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_235" + }, + { + "tensor": "mul_237" + }, + { + "tensor": "view_114" + }, + { + "tensor": "mul_233" + }, + { + "tensor": "sigmoid_17" + }, + { + "tensor": "states_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_160", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_13" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_161", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_13" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_74", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_161" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_29", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_74" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_115", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_29" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_116", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_111" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_57", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_115" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_56", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_57" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_187", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_56" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_84", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_187" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_238", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_115" + }, + { + "tensor": "rsqrt_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_239", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_norm_weight" + }, + { + "tensor": "mul_238" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_44", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_240", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_239" + }, + { + "tensor": "silu_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_117", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_240" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_136", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_117" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_188", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_181" + }, + { + "tensor": "linear_136" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_58", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_188" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_57", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_58" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_189", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_57" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_85", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_189" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_241", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_188" + }, + { + "tensor": "rsqrt_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_190", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_242", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_241" + }, + { + "tensor": "add_190" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_43", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_242" + }, + { + "tensor": "add_188" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_137", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_43" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_45", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_137" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_138", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_43" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_243", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_45" + }, + { + "tensor": "linear_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_139", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_243" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_191", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_188" + }, + { + "tensor": "linear_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_59", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_191" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_58", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_59" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_192", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_58" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_86", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_192" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_244", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_191" + }, + { + "tensor": "rsqrt_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_193", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_245", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_244" + }, + { + "tensor": "add_193" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_44", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_245" + }, + { + "tensor": "add_191" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_140", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_75", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_140" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_141", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_118", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_141" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_142", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_143", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_31", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_36" + }, + { + "tensor": "transpose_75" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_162", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_31" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_14", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_34", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_14" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_14", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_31" + }, + { + "tensor": "unsqueeze_34" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_163", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_14" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_46", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_163" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_164", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_46" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_76", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_164" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_165", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_166", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_167", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_119", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_165" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_120", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_166" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_121", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_167" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_18", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_14", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_22", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_194", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_143" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_14", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_194" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_246", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_22" + }, + { + "tensor": "softplus_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_247", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_119" + }, + { + "tensor": "view_119" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_29", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_247" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_195", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_29" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_87", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_195" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_248", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_119" + }, + { + "tensor": "rsqrt_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_249", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_120" + }, + { + "tensor": "view_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_30", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_249" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_196", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_30" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_88", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_196" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_250", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_120" + }, + { + "tensor": "rsqrt_88" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_14", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_248" + }, + { + "tensor": "mul_250" + }, + { + "tensor": "view_121" + }, + { + "tensor": "mul_246" + }, + { + "tensor": "sigmoid_18" + }, + { + "tensor": "states_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_168", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_14" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_169", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_14" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_77", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_169" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_30", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_77" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_122", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_30" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_123", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_118" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_60", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_122" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_59", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_60" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_197", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_59" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_89", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_251", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_122" + }, + { + "tensor": "rsqrt_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_252", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_norm_weight" + }, + { + "tensor": "mul_251" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_47", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_123" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_253", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_252" + }, + { + "tensor": "silu_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_124", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_253" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_144", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_124" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_198", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_191" + }, + { + "tensor": "linear_144" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_61", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_198" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_60", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_61" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_199", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_60" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_90", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_199" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_254", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_198" + }, + { + "tensor": "rsqrt_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_200", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_255", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_254" + }, + { + "tensor": "add_200" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_45", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_255" + }, + { + "tensor": "add_198" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_145", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_45" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_48", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_146", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_45" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_256", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_48" + }, + { + "tensor": "linear_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_147", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_256" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_201", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_198" + }, + { + "tensor": "linear_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_62", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_201" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_61", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_62" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_202", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_61" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_91", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_202" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_257", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_201" + }, + { + "tensor": "rsqrt_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_203", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_258", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_257" + }, + { + "tensor": "add_203" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_46", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_258" + }, + { + "tensor": "add_201" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_148", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_125", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_148" + }, + [ + 1, + 4, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_170", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_125" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_171", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_125" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_31", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_171" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_12", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_31" + }, + [ + 1, + 4, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_126", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_170" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_63", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_126" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_62", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_63" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_204", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_62" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_92", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_204" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_259", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_126" + }, + { + "tensor": "rsqrt_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_205", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_260", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_259" + }, + { + "tensor": "add_205" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_47", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_260" + }, + { + "tensor": "view_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_78", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_47" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_149", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_127", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_149" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_64", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_127" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_63", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_64" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_206", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_63" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_93", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_206" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_261", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_127" + }, + { + "tensor": "rsqrt_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_207", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_262", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_261" + }, + { + "tensor": "add_207" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_48", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_262" + }, + { + "tensor": "view_127" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_79", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_48" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_150", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_128", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_150" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_80", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_128" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_35", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_36", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_172", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_78" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_173", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_78" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_174", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_79" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_175", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_79" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_263", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + { + "tensor": "unsqueeze_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_176", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_177", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_23", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_32", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_23" + }, + { + "tensor": "slice_176" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_264", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_32" + }, + { + "tensor": "unsqueeze_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_208", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_263" + }, + { + "tensor": "mul_264" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_265", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + { + "tensor": "unsqueeze_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_178", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_179", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_24", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_179" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_33", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_24" + }, + { + "tensor": "slice_178" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_266", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_33" + }, + { + "tensor": "unsqueeze_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_209", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_265" + }, + { + "tensor": "mul_266" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_34", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_208" + }, + { + "tensor": "slice_173" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_35", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_209" + }, + { + "tensor": "slice_175" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_8", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_38" + }, + { + "tensor": "cat_35" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_9", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_39" + }, + { + "tensor": "transpose_80" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_37", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_8" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_9", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_37" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_32", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_9" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_13", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_32" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_38", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_9" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_10", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_38" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_33", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_10" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_14", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_33" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_81", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_13" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_9", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_34" + }, + { + "tensor": "transpose_81" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_267", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_9" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_210", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_267" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_4", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_210" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_10", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_4" + }, + { + "tensor": "_unsafe_view_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_82", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_10" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_34", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_82" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_129", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_34" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_19", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_268", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_129" + }, + { + "tensor": "sigmoid_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_151", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_268" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_211", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_201" + }, + { + "tensor": "linear_151" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_65", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_211" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_64", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_65" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_212", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_64" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_94", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_212" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_269", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_211" + }, + { + "tensor": "rsqrt_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_213", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_270", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_269" + }, + { + "tensor": "add_213" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_49", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_270" + }, + { + "tensor": "add_211" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_152", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_49" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_49", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_153", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_49" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_271", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_49" + }, + { + "tensor": "linear_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_154", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_271" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_214", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_211" + }, + { + "tensor": "linear_154" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_66", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_214" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_65", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_66" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_215", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_65" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_95", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_215" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_272", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_214" + }, + { + "tensor": "rsqrt_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_216", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_273", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_272" + }, + { + "tensor": "add_216" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_50", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_273" + }, + { + "tensor": "add_214" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_155", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_83", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_155" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_156", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_130", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_156" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_157", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_158", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_36", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_40" + }, + { + "tensor": "transpose_83" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_180", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_36" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_15", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_39", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_15" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_15", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_36" + }, + { + "tensor": "unsqueeze_39" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_181", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_15" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_50", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_181" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_182", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_50" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_84", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_182" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_183", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_184", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_185", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_131", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_183" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_132", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_184" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_133", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_185" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_20", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_157" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_15", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_25", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_217", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_158" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_15", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_217" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_274", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_25" + }, + { + "tensor": "softplus_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_275", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_131" + }, + { + "tensor": "view_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_31", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_275" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_218", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_31" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_96", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_218" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_276", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_131" + }, + { + "tensor": "rsqrt_96" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_277", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_132" + }, + { + "tensor": "view_132" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_32", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_277" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_219", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_32" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_97", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_219" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_278", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_132" + }, + { + "tensor": "rsqrt_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_15", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_276" + }, + { + "tensor": "mul_278" + }, + { + "tensor": "view_133" + }, + { + "tensor": "mul_274" + }, + { + "tensor": "sigmoid_20" + }, + { + "tensor": "states_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_186", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_15" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_187", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_15" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_85", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_187" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_35", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_85" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_134", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_35" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_135", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_130" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_67", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_134" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_66", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_67" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_220", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_66" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_98", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_220" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_279", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_134" + }, + { + "tensor": "rsqrt_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_280", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_norm_weight" + }, + { + "tensor": "mul_279" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_51", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_135" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_281", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_280" + }, + { + "tensor": "silu_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_136", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_281" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_159", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_136" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_221", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_214" + }, + { + "tensor": "linear_159" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_68", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_221" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_67", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_68" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_222", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_67" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_99", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_222" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_282", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_221" + }, + { + "tensor": "rsqrt_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_223", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_283", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_282" + }, + { + "tensor": "add_223" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_51", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_283" + }, + { + "tensor": "add_221" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_160", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_51" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_52", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_160" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_161", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_51" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_284", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_52" + }, + { + "tensor": "linear_161" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_162", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_284" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_224", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_221" + }, + { + "tensor": "linear_162" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_69", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_224" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_68", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_69" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_225", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_68" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_100", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_225" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_285", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_224" + }, + { + "tensor": "rsqrt_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_226", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_286", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_285" + }, + { + "tensor": "add_226" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_52", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_286" + }, + { + "tensor": "add_224" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_163", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_86", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_163" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_164", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_137", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_164" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_165", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_166", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_37", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_42" + }, + { + "tensor": "transpose_86" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_188", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_37" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_16", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_40", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_16" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_16", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_37" + }, + { + "tensor": "unsqueeze_40" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_189", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_16" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_53", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_189" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_190", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_53" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_87", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_190" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_191", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_192", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_193", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_138", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_191" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_139", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_192" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_140", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_193" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_21", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_165" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_16", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_26", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_227", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_166" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_16", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_227" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_287", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_26" + }, + { + "tensor": "softplus_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_288", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_138" + }, + { + "tensor": "view_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_33", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_288" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_228", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_33" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_101", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_228" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_289", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_138" + }, + { + "tensor": "rsqrt_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_290", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_139" + }, + { + "tensor": "view_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_34", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_290" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_229", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_34" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_102", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_229" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_291", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_139" + }, + { + "tensor": "rsqrt_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_16", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_289" + }, + { + "tensor": "mul_291" + }, + { + "tensor": "view_140" + }, + { + "tensor": "mul_287" + }, + { + "tensor": "sigmoid_21" + }, + { + "tensor": "states_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_194", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_16" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_195", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_16" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_88", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_195" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_36", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_88" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_141", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_36" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_142", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_137" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_70", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_141" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_69", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_70" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_230", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_69" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_103", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_230" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_292", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_141" + }, + { + "tensor": "rsqrt_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_293", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_norm_weight" + }, + { + "tensor": "mul_292" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_54", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_294", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_293" + }, + { + "tensor": "silu_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_143", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_294" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_167", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_143" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_231", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_224" + }, + { + "tensor": "linear_167" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_71", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_231" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_70", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_71" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_232", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_70" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_104", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_232" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_295", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_231" + }, + { + "tensor": "rsqrt_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_233", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_296", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_295" + }, + { + "tensor": "add_233" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_53", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_296" + }, + { + "tensor": "add_231" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_168", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_53" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_55", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_168" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_169", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_53" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_297", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_55" + }, + { + "tensor": "linear_169" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_170", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_297" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_234", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_231" + }, + { + "tensor": "linear_170" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_72", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_234" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_71", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_72" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_235", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_71" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_105", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_235" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_298", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_234" + }, + { + "tensor": "rsqrt_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_236", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_299", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_298" + }, + { + "tensor": "add_236" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_54", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_299" + }, + { + "tensor": "add_234" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_171", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_89", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_171" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_172", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_144", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_172" + }, + [ + 1, + 4, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_173", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_174", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_38", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_44" + }, + { + "tensor": "transpose_89" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_196", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_38" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_17", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_41", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_17" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_17", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_38" + }, + { + "tensor": "unsqueeze_41" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_197", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_17" + }, + 2, + 0, + 8 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_56", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_198", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_56" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_90", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_198" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_199", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_200", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_201", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_145", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_199" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_146", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_200" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_147", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_201" + }, + [ + 1, + 4, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_22", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_173" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_17", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_27", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_237", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_174" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_17", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_237" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_300", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_27" + }, + { + "tensor": "softplus_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_301", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_145" + }, + { + "tensor": "view_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_35", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_301" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_238", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_35" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_106", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_238" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_302", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_145" + }, + { + "tensor": "rsqrt_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_303", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_146" + }, + { + "tensor": "view_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_36", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_303" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_239", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_36" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_107", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_239" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_304", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_146" + }, + { + "tensor": "rsqrt_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_17", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_302" + }, + { + "tensor": "mul_304" + }, + { + "tensor": "view_147" + }, + { + "tensor": "mul_300" + }, + { + "tensor": "sigmoid_22" + }, + { + "tensor": "states_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_202", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_17" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_203", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_17" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_91", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_203" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_37", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_91" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_148", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_37" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_149", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_144" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_73", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_148" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_72", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_73" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_240", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_72" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_108", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_240" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_305", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_148" + }, + { + "tensor": "rsqrt_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_306", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_norm_weight" + }, + { + "tensor": "mul_305" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_57", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_149" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_307", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_306" + }, + { + "tensor": "silu_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_150", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_307" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_175", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_150" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_241", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_234" + }, + { + "tensor": "linear_175" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_74", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_241" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_73", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_74" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_242", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_73" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_109", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_242" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_308", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_241" + }, + { + "tensor": "rsqrt_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_243", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_309", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_308" + }, + { + "tensor": "add_243" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_55", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_309" + }, + { + "tensor": "add_241" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_176", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_55" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_58", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_176" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_177", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_55" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_310", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_58" + }, + { + "tensor": "linear_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_178", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_310" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_244", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_241" + }, + { + "tensor": "linear_178" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_75", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_244" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_74", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_75" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_245", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_74" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_110", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_245" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_311", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_244" + }, + { + "tensor": "rsqrt_110" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_246", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_312", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_311" + }, + { + "tensor": "add_246" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_56", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_312" + }, + { + "tensor": "add_244" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_179", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_151", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_179" + }, + [ + 1, + 4, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_204", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_151" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_205", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_151" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_38", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_205" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_15", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_38" + }, + [ + 1, + 4, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_152", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_204" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_76", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_152" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_75", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_76" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_247", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_75" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_111", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_247" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_313", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_152" + }, + { + "tensor": "rsqrt_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_248", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_314", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_313" + }, + { + "tensor": "add_248" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_57", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_314" + }, + { + "tensor": "view_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_92", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_57" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_180", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_153", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_180" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_77", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_153" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_76", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_77" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_249", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_76" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_112", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_249" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_315", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_153" + }, + { + "tensor": "rsqrt_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_250", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_316", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_315" + }, + { + "tensor": "add_250" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_58", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_316" + }, + { + "tensor": "view_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_93", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_58" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_181", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_154", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_181" + }, + [ + 1, + 4, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_94", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_154" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_42", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_43", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_206", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_92" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_207", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_92" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_208", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_93" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_209", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_93" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_317", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + { + "tensor": "unsqueeze_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_210", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_211", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_28", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_211" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_39", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_28" + }, + { + "tensor": "slice_210" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_318", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_39" + }, + { + "tensor": "unsqueeze_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_251", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_317" + }, + { + "tensor": "mul_318" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_319", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + { + "tensor": "unsqueeze_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_212", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_213", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_29", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_213" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_40", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_29" + }, + { + "tensor": "slice_212" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_320", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_40" + }, + { + "tensor": "unsqueeze_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_252", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_319" + }, + { + "tensor": "mul_320" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_41", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_251" + }, + { + "tensor": "slice_207" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_42", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_252" + }, + { + "tensor": "slice_209" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_10", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_46" + }, + { + "tensor": "cat_42" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_11", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_47" + }, + { + "tensor": "transpose_94" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_44", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_10" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_11", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_44" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_39", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_11" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_16", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_39" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_45", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_11" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_12", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_45" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_40", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_12" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_17", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_40" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_95", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_16" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_11", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_41" + }, + { + "tensor": "transpose_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_321", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_11" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_253", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_321" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_5", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_253" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_12", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_5" + }, + { + "tensor": "_unsafe_view_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_96", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_12" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_41", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_96" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_155", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_41" + }, + [ + 1, + 4, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_23", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_322", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_155" + }, + { + "tensor": "sigmoid_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_182", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_322" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_254", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_244" + }, + { + "tensor": "linear_182" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_78", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_254" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_77", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_78" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_255", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_77" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_113", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_255" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_323", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_254" + }, + { + "tensor": "rsqrt_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_256", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_324", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_323" + }, + { + "tensor": "add_256" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_59", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_324" + }, + { + "tensor": "add_254" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_183", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_59" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_59", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_183" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_184", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_59" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_325", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_59" + }, + { + "tensor": "linear_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_185", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_325" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_257", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_254" + }, + { + "tensor": "linear_185" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_79", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_257" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_78", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_79" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_258", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_78" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_114", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_258" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_326", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_257" + }, + { + "tensor": "rsqrt_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_259", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_327", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_326" + }, + { + "tensor": "add_259" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_60", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_327" + }, + { + "tensor": "add_257" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "alias", + "op": "aten.alias.default", + "args": [ + { + "tensor": "type_as_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1787, in forward\n logits = self.lm_head(hidden_states[:, slice_indices, :])\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_186", + "op": "aten.linear.default", + "args": [ + { + "tensor": "alias" + }, + { + "tensor": "p_model_model_language_model_embed_tokens_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1787, in forward\n logits = self.lm_head(hidden_states[:, slice_indices, :])\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + } + ], + "quantization": [], + "states": [ + { + "input": "states_0", + "output": "slice_10", + "kind": "convolution" + }, 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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 146, in forward\n text_embedding = self.model.get_input_embeddings()(input_ids)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "where", + "op": "aten.where.self", + "args": [ + { + "tensor": "is_image" + }, + { + "tensor": "image_embedding" + }, + { + "tensor": "embedding" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 147, in forward\n embedding = torch.where(is_image, image_embedding, text_embedding)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_1", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "position_ids" + }, + 0, + 1, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1183, in forward\n position_ids = position_ids[1:]\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "b_model_model_language_model_rotary_emb_inv_freq" + }, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 5, in forward\n unsqueeze = torch.ops.aten.unsqueeze.default(b_model_model_language_model_rotary_emb_inv_freq, 0); b_model_model_language_model_rotary_emb_inv_freq = None" + }, + { + "id": "unsqueeze_1", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "unsqueeze" + }, + 1 + ], + "kwargs": {}, + "source": "File \".49\", line 6, in forward\n unsqueeze_1 = torch.ops.aten.unsqueeze.default(unsqueeze, 1); unsqueeze = None" + }, + { + "id": "unsqueeze_2", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "unsqueeze_1" + }, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 7, in forward\n unsqueeze_2 = torch.ops.aten.unsqueeze.default(unsqueeze_1, 3); unsqueeze_1 = None" + }, + { + "id": "expand", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_2" + }, + [ + 3, + 1, + -1, + 1 + ] + ], + "kwargs": {}, + "source": "File \".49\", line 10, in forward\n expand = torch.ops.aten.expand.default(to, [3, 1, -1, 1]); to = None" + }, + { + "id": "unsqueeze_3", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "slice_1" + }, + 2 + ], + "kwargs": {}, + "source": "File \".49\", line 13, in forward\n unsqueeze_3 = torch.ops.aten.unsqueeze.default(slice_1, 2); slice_1 = None" + }, + { + "id": "_to_copy", + "op": "aten._to_copy.default", + "args": [ + { + "tensor": "unsqueeze_3" + } + ], + "kwargs": { + "dtype": { + "dtype": "float32" + } + }, + "source": "File \".49\", line 15, in forward\n to_2 = torch.ops.aten.to.dtype(unsqueeze_3, torch.float32); unsqueeze_3 = None" + }, + { + "id": "matmul", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "expand" + }, + { + "tensor": "_to_copy" + } + ], + "kwargs": {}, + "source": "File \".49\", line 20, in forward\n matmul = torch.ops.aten.matmul.default(to_3, to_4); to_3 = to_4 = None" + }, + { + "id": "transpose", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 21, in forward\n transpose = torch.ops.aten.transpose.int(matmul, 2, 3); matmul = None" + }, + { + "id": "select", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "select_1", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose" + }, + 0, + 1 + ], + "kwargs": {}, + "source": "File \".49\", line 23, in forward\n select_1 = torch.ops.aten.select.int(transpose, 0, 1)" + }, + { + "id": "slice_2", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_1" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 24, in forward\n slice_2 = torch.ops.aten.slice.Tensor(select_1, 2, 1, 33, 3); select_1 = None" + }, + { + "id": "slice_3", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 25, in forward\n slice_3 = torch.ops.aten.slice.Tensor(select, 2, 1, 33, 3)" + }, + { + "id": "copy", + "op": "aten.copy.default", + "args": [ + { + "tensor": "slice_3" + }, + { + "tensor": "slice_2" + } + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_1", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "select_2", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_1" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "slice_scatter", + "op": "aten.slice_scatter.default", + "args": [ + { + "tensor": "select_2" + }, + { + "tensor": "copy" + }, + 2, + 1, + 33, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "select_scatter", + "op": "aten.select_scatter.default", + "args": [ + { + "tensor": "transpose_1" + }, + { + "tensor": "slice_scatter" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_2", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "select_scatter" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 26, in forward\n copy_ = torch.ops.aten.copy_.default(slice_3, slice_2); slice_3 = slice_2 = copy_ = None" + }, + { + "id": "transpose_7", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "select_7", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_7" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "slice_7", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_7" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 29, in forward\n slice_5 = torch.ops.aten.slice.Tensor(select, 2, 2, 30, 3)" + }, + { + "id": "transpose_8", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "select_8", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_8" + }, + 0, + 2 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "slice_8", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "select_8" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 28, in forward\n slice_4 = torch.ops.aten.slice.Tensor(select_2, 2, 2, 30, 3); select_2 = None" + }, + { + "id": "copy_1", + "op": "aten.copy.default", + "args": [ + { + "tensor": "slice_7" + }, + { + "tensor": "slice_8" + } + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_9", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_2" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "select_9", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_9" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "slice_scatter_1", + "op": "aten.slice_scatter.default", + "args": [ + { + "tensor": "select_9" + }, + { + "tensor": "copy_1" + }, + 2, + 2, + 30, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "select_scatter_1", + "op": "aten.select_scatter.default", + "args": [ + { + "tensor": "transpose_9" + }, + { + "tensor": "slice_scatter_1" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_10", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "select_scatter_1" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 30, in forward\n copy__1 = torch.ops.aten.copy_.default(slice_5, slice_4); slice_5 = slice_4 = copy__1 = None" + }, + { + "id": "transpose_12", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "transpose_10" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "select_11", + "op": "aten.select.int", + "args": [ + { + "tensor": "transpose_12" + }, + 0, + 0 + ], + "kwargs": {}, + "source": "File \".49\", line 22, in forward\n select = torch.ops.aten.select.int(transpose, 0, 0)" + }, + { + "id": "cat", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "select_11" + }, + { + "tensor": "select_11" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \".49\", line 31, in forward\n cat = torch.ops.aten.cat.default([select, select], -1); select = None" + }, + { + "id": "cos", + "op": "aten.cos.default", + "args": [ + { + "tensor": "cat" + } + ], + "kwargs": {}, + "source": "File \".49\", line 32, in forward\n cos = torch.ops.aten.cos.default(cat)" + }, + { + "id": "mul", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cos" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \".49\", line 33, in forward\n mul = torch.ops.aten.mul.Tensor(cos, 1.0); cos = None" + }, + { + "id": "sin", + "op": "aten.sin.default", + "args": [ + { + "tensor": "cat" + } + ], + "kwargs": {}, + "source": "File \".49\", line 34, in forward\n sin = torch.ops.aten.sin.default(cat); cat = None" + }, + { + "id": "mul_1", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "sin" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \".49\", line 35, in forward\n mul_1 = torch.ops.aten.mul.Tensor(sin, 1.0); sin = None" + }, + { + "id": "pow_1", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "where" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_1" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_2", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "where" + }, + { + "tensor": "rsqrt" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_1", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_3", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_2" + }, + { + "tensor": "add_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_3" + }, + { + "tensor": "where" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_13", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_1", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_1" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_2", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_3", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_1", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_0" + }, + { + "tensor": "transpose_13" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_10", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_1" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_4", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_1" + }, + { + "tensor": "unsqueeze_4" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_11", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_12", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_14", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_12" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_13", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_14", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_15", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_14" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_1", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_13" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_2", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_14" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_3", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_15" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_2", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_3" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_4", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg" + }, + { + "tensor": "softplus" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_5", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_1" + }, + { + "tensor": "view_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_1", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_5" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_3", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_1" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_1", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_6", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_1" + }, + { + "tensor": "rsqrt_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_7", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_2" + }, + { + "tensor": "view_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_2", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_7" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_4", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_2" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_2", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_8", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_2" + }, + { + "tensor": "rsqrt_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_6" + }, + { + "tensor": "mul_8" + }, + { + "tensor": "view_3" + }, + { + "tensor": "mul_4" + }, + { + "tensor": "sigmoid" + }, + { + "tensor": "states_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_16", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_17", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_15", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_17" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_15" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_4", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_5", + "op": "aten.view.default", + "args": [ + { + "tensor": "view" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_2", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_4" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_1", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_2" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_5", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_1" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_3", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_9", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_4" + }, + { + "tensor": "rsqrt_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_10", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_norm_weight" + }, + { + "tensor": "mul_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_1", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_11", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_10" + }, + { + "tensor": "silu_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_6", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_11" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_4", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_6" + }, + { + "tensor": "p_model_model_language_model_layers_0_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_6", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "where" + }, + { + "tensor": "linear_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_3", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_6" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_2", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_3" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_7", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_2" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_4", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_12", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_6" + }, + { + "tensor": "rsqrt_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_8", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_0_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_13", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_12" + }, + { + "tensor": "add_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_1", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_13" + }, + { + "tensor": "add_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_5", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_1" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_2", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_6", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_1" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_14", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_2" + }, + { + "tensor": "linear_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_7", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_14" + }, + { + "tensor": "p_model_model_language_model_layers_0_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_9", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_6" + }, + { + "tensor": "linear_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_4", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_9" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_3", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_4" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_10", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_3" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_5", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_15", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_9" + }, + { + "tensor": "rsqrt_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_11", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_16", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_15" + }, + { + "tensor": "add_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_2", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_16" + }, + { + "tensor": "add_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_8", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_16", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_9", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_7", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_9" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_10", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_11", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_2" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_2", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_2" + }, + { + "tensor": "transpose_16" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_18", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_2" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_1", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_5", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_1", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_2" + }, + { + "tensor": "unsqueeze_5" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_19", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_1" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_3", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_20", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_3" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_17", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_20" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_21", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_22", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_23", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_17" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_8", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_21" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_9", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_22" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_10", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_23" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_1", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_1", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_1", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_12", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_11" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_1", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_17", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_1" + }, + { + "tensor": "softplus_1" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_18", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_8" + }, + { + "tensor": "view_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_3", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_18" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_13", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_3" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_6", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_19", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_8" + }, + { + "tensor": "rsqrt_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_20", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_9" + }, + { + "tensor": "view_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_4", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_20" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_14", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_4" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_7", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_21", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_9" + }, + { + "tensor": "rsqrt_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_1", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_19" + }, + { + "tensor": "mul_21" + }, + { + "tensor": "view_10" + }, + { + "tensor": "mul_17" + }, + { + "tensor": "sigmoid_1" + }, + { + "tensor": "states_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_24", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_1" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_25", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_1" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_18", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_25" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_1", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_18" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_11", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_1" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_12", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_7" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_5", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_11" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_4", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_5" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_15", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_4" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_8", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_22", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_11" + }, + { + "tensor": "rsqrt_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_23", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_norm_weight" + }, + { + "tensor": "mul_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_4", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_24", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_23" + }, + { + "tensor": "silu_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_13", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_24" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_12", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_13" + }, + { + "tensor": "p_model_model_language_model_layers_1_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_16", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_9" + }, + { + "tensor": "linear_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_6", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_16" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_5", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_6" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_17", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_5" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_9", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_25", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_16" + }, + { + "tensor": "rsqrt_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_18", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_1_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_26", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_25" + }, + { + "tensor": "add_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_3", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_26" + }, + { + "tensor": "add_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_13", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_3" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_5", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_14", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_3" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_27", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_5" + }, + { + "tensor": "linear_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_15", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_27" + }, + { + "tensor": "p_model_model_language_model_layers_1_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_19", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_16" + }, + { + "tensor": "linear_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_7", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_19" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_6", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_7" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_20", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_6" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_10", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_28", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_19" + }, + { + "tensor": "rsqrt_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_21", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_29", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_28" + }, + { + "tensor": "add_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_4", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_29" + }, + { + "tensor": "add_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_16", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_19", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_16" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_17", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_14", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_17" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_18", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_19", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_4" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_3", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_4" + }, + { + "tensor": "transpose_19" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_26", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_3" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_2", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_6", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_2" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_2", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_3" + }, + { + "tensor": "unsqueeze_6" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_27", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_2" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_6", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_28", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_6" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_20", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_28" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_29", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_30", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_31", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_20" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_15", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_29" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_16", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_30" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_17", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_31" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_2", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_2", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_2", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_22", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_19" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_2", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_30", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_2" + }, + { + "tensor": "softplus_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_31", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_15" + }, + { + "tensor": "view_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_5", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_31" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_23", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_5" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_11", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_32", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_15" + }, + { + "tensor": "rsqrt_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_33", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_16" + }, + { + "tensor": "view_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_6", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_33" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_24", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_6" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_12", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_34", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_16" + }, + { + "tensor": "rsqrt_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_2", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_32" + }, + { + "tensor": "mul_34" + }, + { + "tensor": "view_17" + }, + { + "tensor": "mul_30" + }, + { + "tensor": "sigmoid_2" + }, + { + "tensor": "states_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_32", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_2" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_33", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_2" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_21", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_33" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_2", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_21" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_18", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_2" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_19", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_14" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_8", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_18" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_7", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_8" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_25", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_7" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_13", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_35", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_18" + }, + { + "tensor": "rsqrt_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_36", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_norm_weight" + }, + { + "tensor": "mul_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_7", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_37", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_36" + }, + { + "tensor": "silu_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_20", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_37" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_20", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_20" + }, + { + "tensor": "p_model_model_language_model_layers_2_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_26", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_19" + }, + { + "tensor": "linear_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_9", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_26" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_8", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_9" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_27", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_8" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_14", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_38", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_26" + }, + { + "tensor": "rsqrt_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_28", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_2_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_39", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_38" + }, + { + "tensor": "add_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_5", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_39" + }, + { + "tensor": "add_26" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_21", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_5" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_8", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_22", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_5" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_40", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_8" + }, + { + "tensor": "linear_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_23", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_40" + }, + { + "tensor": "p_model_model_language_model_layers_2_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_29", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_26" + }, + { + "tensor": "linear_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_10", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_29" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_9", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_10" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_30", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_9" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_15", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_41", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_29" + }, + { + "tensor": "rsqrt_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_31", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_42", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_41" + }, + { + "tensor": "add_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_6", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_42" + }, + { + "tensor": "add_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_24", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_21", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_24" + }, + [ + 1, + 64, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_34", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_21" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_35", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_21" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_3", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_35" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_3" + }, + [ + 1, + 64, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_22", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_34" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_11", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_22" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_10", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_11" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_32", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_10" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_16", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_43", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_22" + }, + { + "tensor": "rsqrt_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_33", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_44", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_43" + }, + { + "tensor": "add_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_7", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_44" + }, + { + "tensor": "view_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_22", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_7" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_25", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_23", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_25" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_12", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_23" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_11", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_12" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_34", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_11" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_17", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_45", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_23" + }, + { + "tensor": "rsqrt_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_35", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_46", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_45" + }, + { + "tensor": "add_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_8", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_46" + }, + { + "tensor": "view_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_23", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_26", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_6" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_24", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_26" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_24", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_24" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_7", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_8", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_36", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_22" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_37", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_22" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_38", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_23" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_39", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_23" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_47", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + { + "tensor": "unsqueeze_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_40", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_41", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_36" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_3", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_4", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_3" + }, + { + "tensor": "slice_40" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_48", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_4" + }, + { + "tensor": "unsqueeze_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_36", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_47" + }, + { + "tensor": "mul_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_49", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + { + "tensor": "unsqueeze_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_42", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_43", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_38" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_4", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_5", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_4" + }, + { + "tensor": "slice_42" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_50", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_5" + }, + { + "tensor": "unsqueeze_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_37", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_49" + }, + { + "tensor": "mul_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_6", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_36" + }, + { + "tensor": "slice_37" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_7", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_37" + }, + { + "tensor": "slice_39" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_6" + }, + { + "tensor": "cat_7" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_1", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_7" + }, + { + "tensor": "transpose_24" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_9", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_1", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_9" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_4", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_1" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_1", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_4" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_10", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_1" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_2", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_10" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_5", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_2" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_2", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_5" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_25", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_1" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_1", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_6" + }, + { + "tensor": "transpose_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_51", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_1" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_38", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_51" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_38" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_2", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax" + }, + { + "tensor": "_unsafe_view_2" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_26", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_2" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_6", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_26" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_25", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_6" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_3", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_52", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_25" + }, + { + "tensor": "sigmoid_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_27", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_52" + }, + { + "tensor": "p_model_model_language_model_layers_3_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_39", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_29" + }, + { + "tensor": "linear_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_13", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_39" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_12", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_13" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_40", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_12" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_18", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_40" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_53", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_39" + }, + { + "tensor": "rsqrt_18" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_41", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_3_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_54", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_53" + }, + { + "tensor": "add_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_9", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_54" + }, + { + "tensor": "add_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_28", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_9" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_9", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_29", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_9" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_55", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_9" + }, + { + "tensor": "linear_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_30", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_55" + }, + { + "tensor": "p_model_model_language_model_layers_3_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_42", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_39" + }, + { + "tensor": "linear_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_14", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_42" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_13", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_14" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_43", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_13" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_19", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_56", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_42" + }, + { + "tensor": "rsqrt_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_44", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_57", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_56" + }, + { + "tensor": "add_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_10", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_57" + }, + { + "tensor": "add_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_31", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_27", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_31" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_32", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_26", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_32" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_33", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_34", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_10" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_8", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_8" + }, + { + "tensor": "transpose_27" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_44", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_8" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_3", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_11", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_3" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_3", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_8" + }, + { + "tensor": "unsqueeze_11" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_45", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_3" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_10", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_46", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_10" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_28", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_46" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_47", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_48", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_49", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_28" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_27", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_47" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_28", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_48" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_29", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_49" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_4", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_3", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_5", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_45", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_34" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_3", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_58", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_5" + }, + { + "tensor": "softplus_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_59", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_27" + }, + { + "tensor": "view_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_7", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_59" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_46", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_7" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_20", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_60", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_27" + }, + { + "tensor": "rsqrt_20" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_61", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_28" + }, + { + "tensor": "view_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_8", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_61" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_47", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_8" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_21", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_62", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_28" + }, + { + "tensor": "rsqrt_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_3", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_60" + }, + { + "tensor": "mul_62" + }, + { + "tensor": "view_29" + }, + { + "tensor": "mul_58" + }, + { + "tensor": "sigmoid_4" + }, + { + "tensor": "states_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_50", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_3" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_51", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_3" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_29", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_51" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_7", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_29" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_30", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_7" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_31", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_26" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_15", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_30" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_14", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_15" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_48", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_14" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_22", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_63", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_30" + }, + { + "tensor": "rsqrt_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_64", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_norm_weight" + }, + { + "tensor": "mul_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_11", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_65", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_64" + }, + { + "tensor": "silu_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_32", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_65" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_35", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_32" + }, + { + "tensor": "p_model_model_language_model_layers_4_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_49", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_42" + }, + { + "tensor": "linear_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_16", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_49" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_15", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_16" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_50", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_15" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_23", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_66", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_49" + }, + { + "tensor": "rsqrt_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_51", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_4_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_67", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_66" + }, + { + "tensor": "add_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_11", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_67" + }, + { + "tensor": "add_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_36", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_11" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_12", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_37", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_11" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_68", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_12" + }, + { + "tensor": "linear_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_38", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_68" + }, + { + "tensor": "p_model_model_language_model_layers_4_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_52", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_49" + }, + { + "tensor": "linear_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_17", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_52" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_16", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_17" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_53", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_16" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_24", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_69", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_52" + }, + { + "tensor": "rsqrt_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_54", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_70", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_69" + }, + { + "tensor": "add_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_12", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_70" + }, + { + "tensor": "add_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_39", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_30", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_39" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_40", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_33", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_40" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_41", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_42", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_12" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_9", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_10" + }, + { + "tensor": "transpose_30" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_52", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_9" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_4", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_12", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_4" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_4", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_9" + }, + { + "tensor": "unsqueeze_12" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_53", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_4" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_13", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_54", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_13" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_31", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_54" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_55", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_56", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_57", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_31" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_34", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_55" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_35", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_56" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_36", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_57" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_5", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_4", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_6", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_55", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_42" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_4", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_55" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_71", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_6" + }, + { + "tensor": "softplus_4" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_72", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_34" + }, + { + "tensor": "view_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_9", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_72" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_56", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_9" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_25", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_56" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_73", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_34" + }, + { + "tensor": "rsqrt_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_74", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_35" + }, + { + "tensor": "view_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_10", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_74" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_57", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_10" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_26", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_75", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_35" + }, + { + "tensor": "rsqrt_26" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_4", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_73" + }, + { + "tensor": "mul_75" + }, + { + "tensor": "view_36" + }, + { + "tensor": "mul_71" + }, + { + "tensor": "sigmoid_5" + }, + { + "tensor": "states_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_58", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_4" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_59", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_4" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_32", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_59" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_8", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_32" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_37", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_8" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_38", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_33" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_18", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_37" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_17", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_18" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_58", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_17" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_27", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_76", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_37" + }, + { + "tensor": "rsqrt_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_77", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_norm_weight" + }, + { + "tensor": "mul_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_14", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_78", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_77" + }, + { + "tensor": "silu_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_39", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_78" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_43", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_39" + }, + { + "tensor": "p_model_model_language_model_layers_5_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_59", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_52" + }, + { + "tensor": "linear_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_19", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_59" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_18", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_19" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_60", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_18" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_28", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_79", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_59" + }, + { + "tensor": "rsqrt_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_61", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_5_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_80", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_79" + }, + { + "tensor": "add_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_13", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_80" + }, + { + "tensor": "add_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_44", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_13" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_15", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_45", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_13" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_81", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_15" + }, + { + "tensor": "linear_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_46", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_81" + }, + { + "tensor": "p_model_model_language_model_layers_5_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_62", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_59" + }, + { + "tensor": "linear_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_20", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_62" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_19", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_20" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_63", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_19" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_29", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_82", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_62" + }, + { + "tensor": "rsqrt_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_64", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_83", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_82" + }, + { + "tensor": "add_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_14", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_83" + }, + { + "tensor": "add_62" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_47", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_33", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_47" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_48", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_40", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_48" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_49", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_50", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_14" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_10", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_12" + }, + { + "tensor": "transpose_33" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_60", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_10" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_5", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_13", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_5" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_5", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_10" + }, + { + "tensor": "unsqueeze_13" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_61", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_5" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_16", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_62", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_16" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_34", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_62" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_63", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_64", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_65", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_34" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_41", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_63" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_42", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_64" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_43", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_65" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_6", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_5", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_7", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_65", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_50" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_5", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_65" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_84", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_7" + }, + { + "tensor": "softplus_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_85", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_41" + }, + { + "tensor": "view_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_11", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_85" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_66", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_11" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_30", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_86", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_41" + }, + { + "tensor": "rsqrt_30" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_87", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_42" + }, + { + "tensor": "view_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_12", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_87" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_67", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_12" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_31", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_88", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_42" + }, + { + "tensor": "rsqrt_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_5", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_86" + }, + { + "tensor": "mul_88" + }, + { + "tensor": "view_43" + }, + { + "tensor": "mul_84" + }, + { + "tensor": "sigmoid_6" + }, + { + "tensor": "states_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_66", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_5" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_67", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_5" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_35", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_67" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_9", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_35" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_44", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_9" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_45", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_40" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_21", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_44" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_20", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_21" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_68", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_20" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_32", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_89", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_44" + }, + { + "tensor": "rsqrt_32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_90", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_norm_weight" + }, + { + "tensor": "mul_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_17", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_91", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_90" + }, + { + "tensor": "silu_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_46", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_91" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_51", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_46" + }, + { + "tensor": "p_model_model_language_model_layers_6_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_69", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_62" + }, + { + "tensor": "linear_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_22", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_69" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_21", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_22" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_70", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_21" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_33", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_70" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_92", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_69" + }, + { + "tensor": "rsqrt_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_71", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_6_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_93", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_92" + }, + { + "tensor": "add_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_15", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_93" + }, + { + "tensor": "add_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_52", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_15" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_18", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_53", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_15" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_94", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_18" + }, + { + "tensor": "linear_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_54", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_94" + }, + { + "tensor": "p_model_model_language_model_layers_6_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_72", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_69" + }, + { + "tensor": "linear_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_23", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_72" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_22", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_23" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_73", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_22" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_34", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_73" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_95", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_72" + }, + { + "tensor": "rsqrt_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_74", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_96", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_95" + }, + { + "tensor": "add_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_16", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_96" + }, + { + "tensor": "add_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_55", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_47", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_55" + }, + [ + 1, + 64, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_68", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_47" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_69", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_47" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_10", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_69" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_3", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_10" + }, + [ + 1, + 64, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_48", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_68" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_24", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_48" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_23", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_24" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_75", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_23" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_35", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_97", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_48" + }, + { + "tensor": "rsqrt_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_76", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_98", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_97" + }, + { + "tensor": "add_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_17", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_98" + }, + { + "tensor": "view_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_36", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_17" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_56", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_49", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_56" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_25", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_49" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_24", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_25" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_77", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_24" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_36", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_99", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_49" + }, + { + "tensor": "rsqrt_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_78", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_100", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_99" + }, + { + "tensor": "add_78" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_18", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_100" + }, + { + "tensor": "view_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_37", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_18" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_57", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_16" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_50", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_57" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_38", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_50" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_14", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_15", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_70", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_36" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_71", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_36" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_72", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_37" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_73", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_37" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_101", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + { + "tensor": "unsqueeze_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_74", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_75", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_70" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_8", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_11", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_8" + }, + { + "tensor": "slice_74" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_102", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_11" + }, + { + "tensor": "unsqueeze_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_79", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_101" + }, + { + "tensor": "mul_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_103", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + { + "tensor": "unsqueeze_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_76", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_77", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_72" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_9", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_12", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_9" + }, + { + "tensor": "slice_76" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_104", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_12" + }, + { + "tensor": "unsqueeze_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_80", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_103" + }, + { + "tensor": "mul_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_13", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_79" + }, + { + "tensor": "slice_71" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_14", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_80" + }, + { + "tensor": "slice_73" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_2", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_14" + }, + { + "tensor": "cat_14" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_3", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_15" + }, + { + "tensor": "transpose_38" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_16", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_2" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_3", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_16" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_11", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_3" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_4", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_11" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_17", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_3" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_4", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_17" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_12", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_4" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_5", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_12" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_39", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_4" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_3", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_13" + }, + { + "tensor": "transpose_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_105", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_3" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_81", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_105" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_1", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_81" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_4", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_1" + }, + { + "tensor": "_unsafe_view_5" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_40", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_4" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_13", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_40" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_51", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_13" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_7", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_3" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_106", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_51" + }, + { + "tensor": "sigmoid_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_58", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_106" + }, + { + "tensor": "p_model_model_language_model_layers_7_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_82", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_72" + }, + { + "tensor": "linear_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_26", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_82" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_25", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_26" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_83", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_25" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_37", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_107", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_82" + }, + { + "tensor": "rsqrt_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_84", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_7_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_108", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_107" + }, + { + "tensor": "add_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_19", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_108" + }, + { + "tensor": "add_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_59", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_19" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_19", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_60", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_19" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_109", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_19" + }, + { + "tensor": "linear_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_61", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_109" + }, + { + "tensor": "p_model_model_language_model_layers_7_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_85", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_82" + }, + { + "tensor": "linear_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_27", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_85" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_26", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_27" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_86", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_26" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_38", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_110", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_85" + }, + { + "tensor": "rsqrt_38" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_87", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_111", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_110" + }, + { + "tensor": "add_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_20", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_111" + }, + { + "tensor": "add_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_62", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_41", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_62" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_63", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_52", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_63" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_64", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_65", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_20" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_15", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_16" + }, + { + "tensor": "transpose_41" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_78", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_15" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_6", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_18", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_6" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_6", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_15" + }, + { + "tensor": "unsqueeze_18" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_79", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_6" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_20", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_80", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_20" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_42", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_80" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_81", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_82", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_83", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_42" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_53", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_81" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_54", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_82" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_55", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_83" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_8", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_6", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_10", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_88", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_65" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_6", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_88" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_112", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_10" + }, + { + "tensor": "softplus_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_113", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_53" + }, + { + "tensor": "view_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_13", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_113" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_89", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_13" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_39", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_114", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_53" + }, + { + "tensor": "rsqrt_39" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_115", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_54" + }, + { + "tensor": "view_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_14", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_115" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_90", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_14" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_40", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_116", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_54" + }, + { + "tensor": "rsqrt_40" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_6", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_114" + }, + { + "tensor": "mul_116" + }, + { + "tensor": "view_55" + }, + { + "tensor": "mul_112" + }, + { + "tensor": "sigmoid_8" + }, + { + "tensor": "states_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_84", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_6" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_85", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_6" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_43", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_85" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_14", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_43" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_56", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_14" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_57", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_52" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_28", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_56" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_27", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_28" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_91", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_27" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_41", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_117", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_56" + }, + { + "tensor": "rsqrt_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_118", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_norm_weight" + }, + { + "tensor": "mul_117" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_21", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_119", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_118" + }, + { + "tensor": "silu_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_58", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_119" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_66", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_58" + }, + { + "tensor": "p_model_model_language_model_layers_8_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_92", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_85" + }, + { + "tensor": "linear_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_29", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_92" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_28", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_29" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_93", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_28" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_42", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_120", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_92" + }, + { + "tensor": "rsqrt_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_94", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_8_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_121", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_120" + }, + { + "tensor": "add_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_21", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_121" + }, + { + "tensor": "add_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_67", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_21" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_22", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_68", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_21" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_122", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_22" + }, + { + "tensor": "linear_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_69", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_122" + }, + { + "tensor": "p_model_model_language_model_layers_8_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_95", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_92" + }, + { + "tensor": "linear_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_30", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_95" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_29", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_30" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_96", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_29" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_43", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_96" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_123", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_95" + }, + { + "tensor": "rsqrt_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_97", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_124", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_123" + }, + { + "tensor": "add_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_22", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_124" + }, + { + "tensor": "add_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_70", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_44", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_70" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_71", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_59", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_71" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_72", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_73", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_22" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_16", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_18" + }, + { + "tensor": "transpose_44" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_86", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_16" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_7", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_19", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_7" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_7", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_16" + }, + { + "tensor": "unsqueeze_19" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_87", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_7" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_23", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_88", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_23" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_45", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_88" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_89", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_90", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_91", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_45" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_60", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_89" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_61", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_90" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_62", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_91" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_9", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_7", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_11", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_98", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_73" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_7", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_125", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_11" + }, + { + "tensor": "softplus_7" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_126", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_60" + }, + { + "tensor": "view_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_15", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_126" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_99", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_15" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_44", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_127", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_60" + }, + { + "tensor": "rsqrt_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_128", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_61" + }, + { + "tensor": "view_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_16", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_128" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_100", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_16" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_45", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_129", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_61" + }, + { + "tensor": "rsqrt_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_7", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_127" + }, + { + "tensor": "mul_129" + }, + { + "tensor": "view_62" + }, + { + "tensor": "mul_125" + }, + { + "tensor": "sigmoid_9" + }, + { + "tensor": "states_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_92", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_7" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_93", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_7" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_46", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_93" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_15", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_46" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_63", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_15" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_64", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_59" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_31", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_63" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_30", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_31" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_101", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_30" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_46", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_130", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_63" + }, + { + "tensor": "rsqrt_46" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_131", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_norm_weight" + }, + { + "tensor": "mul_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_24", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_132", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_131" + }, + { + "tensor": "silu_24" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_65", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_132" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_74", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_65" + }, + { + "tensor": "p_model_model_language_model_layers_9_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_102", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_95" + }, + { + "tensor": "linear_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_32", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_102" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_31", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_32" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_103", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_31" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_47", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_133", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_102" + }, + { + "tensor": "rsqrt_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_104", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_9_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_134", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_133" + }, + { + "tensor": "add_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_23", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_134" + }, + { + "tensor": "add_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_75", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_23" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_25", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_76", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_23" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_135", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_25" + }, + { + "tensor": "linear_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_77", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_135" + }, + { + "tensor": "p_model_model_language_model_layers_9_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_105", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_102" + }, + { + "tensor": "linear_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_33", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_105" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_32", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_33" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_106", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_32" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_48", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_136", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_105" + }, + { + "tensor": "rsqrt_48" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_107", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_137", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_136" + }, + { + "tensor": "add_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_24", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_137" + }, + { + "tensor": "add_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_78", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_47", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_78" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_79", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_66", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_79" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_80", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_81", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_24" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_17", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_20" + }, + { + "tensor": "transpose_47" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_94", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_17" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_8", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_20", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_8" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_8", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_17" + }, + { + "tensor": "unsqueeze_20" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_95", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_8" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_26", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_96", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_26" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_48", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_96" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_97", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_98", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_99", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_48" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_67", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_97" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_68", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_98" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_69", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_99" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_10", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_8", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_12", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_108", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_81" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_8", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_138", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_12" + }, + { + "tensor": "softplus_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_139", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_67" + }, + { + "tensor": "view_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_17", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_139" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_109", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_17" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_49", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_140", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_67" + }, + { + "tensor": "rsqrt_49" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_141", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_68" + }, + { + "tensor": "view_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_18", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_141" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_110", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_18" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_50", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_110" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_142", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_68" + }, + { + "tensor": "rsqrt_50" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_8", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_140" + }, + { + "tensor": "mul_142" + }, + { + "tensor": "view_69" + }, + { + "tensor": "mul_138" + }, + { + "tensor": "sigmoid_10" + }, + { + "tensor": "states_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_100", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_8" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_101", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_8" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_49", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_101" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_16", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_49" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_70", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_16" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_71", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_66" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_34", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_70" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_33", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_34" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_111", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_33" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_51", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_143", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_70" + }, + { + "tensor": "rsqrt_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_144", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_norm_weight" + }, + { + "tensor": "mul_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_27", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_145", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_144" + }, + { + "tensor": "silu_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_72", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_145" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_82", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_72" + }, + { + "tensor": "p_model_model_language_model_layers_10_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_112", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_105" + }, + { + "tensor": "linear_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_35", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_112" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_34", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_35" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_113", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_34" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_52", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_146", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_112" + }, + { + "tensor": "rsqrt_52" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_114", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_10_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_147", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_146" + }, + { + "tensor": "add_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_25", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_147" + }, + { + "tensor": "add_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_83", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_25" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_28", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_84", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_25" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_148", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_28" + }, + { + "tensor": "linear_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_85", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_148" + }, + { + "tensor": "p_model_model_language_model_layers_10_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_115", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_112" + }, + { + "tensor": "linear_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_36", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_115" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_35", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_36" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_116", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_35" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_53", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_149", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_115" + }, + { + "tensor": "rsqrt_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_117", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_150", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_149" + }, + { + "tensor": "add_117" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_26", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_150" + }, + { + "tensor": "add_115" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_86", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_73", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_86" + }, + [ + 1, + 64, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_102", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_73" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_103", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_73" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_17", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_103" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_6", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_17" + }, + [ + 1, + 64, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_74", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_102" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_37", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_74" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_36", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_37" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_118", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_36" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_54", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_118" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_151", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_74" + }, + { + "tensor": "rsqrt_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_119", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_152", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_151" + }, + { + "tensor": "add_119" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_27", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_152" + }, + { + "tensor": "view_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_50", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_27" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_87", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_75", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_87" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_38", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_75" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_37", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_38" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_120", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_37" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_55", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_153", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_75" + }, + { + "tensor": "rsqrt_55" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_121", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_154", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_153" + }, + { + "tensor": "add_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_28", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_154" + }, + { + "tensor": "view_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_51", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_28" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_88", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_26" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_76", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_88" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_52", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_76" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_21", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_22", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_104", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_50" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_105", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_50" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_106", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_51" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_107", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_51" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_155", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + { + "tensor": "unsqueeze_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_108", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_109", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_104" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_13", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_18", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_13" + }, + { + "tensor": "slice_108" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_156", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_18" + }, + { + "tensor": "unsqueeze_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_122", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_155" + }, + { + "tensor": "mul_156" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_157", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + { + "tensor": "unsqueeze_21" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_110", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_111", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_106" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_14", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_19", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_14" + }, + { + "tensor": "slice_110" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_158", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_19" + }, + { + "tensor": "unsqueeze_22" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_123", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_157" + }, + { + "tensor": "mul_158" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_20", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_122" + }, + { + "tensor": "slice_105" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_21", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_123" + }, + { + "tensor": "slice_107" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_4", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_22" + }, + { + "tensor": "cat_21" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_5", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_23" + }, + { + "tensor": "transpose_52" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_23", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_4" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_5", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_23" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_18", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_5" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_7", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_18" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_24", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_5" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_6", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_24" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_19", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_6" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_8", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_19" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_53", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_7" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_5", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_20" + }, + { + "tensor": "transpose_53" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_159", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_5" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_124", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_159" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_2", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_124" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_6", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_2" + }, + { + "tensor": "_unsafe_view_8" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_54", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_6" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_20", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_54" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_77", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_20" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_11", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_6" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_160", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_77" + }, + { + "tensor": "sigmoid_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_89", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_160" + }, + { + "tensor": "p_model_model_language_model_layers_11_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_125", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_115" + }, + { + "tensor": "linear_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_39", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_125" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_38", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_39" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_126", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_38" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_56", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_161", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_125" + }, + { + "tensor": "rsqrt_56" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_127", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_11_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_162", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_161" + }, + { + "tensor": "add_127" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_29", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_162" + }, + { + "tensor": "add_125" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_90", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_29" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_29", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_91", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_29" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_163", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_29" + }, + { + "tensor": "linear_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_92", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_163" + }, + { + "tensor": "p_model_model_language_model_layers_11_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_128", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_125" + }, + { + "tensor": "linear_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_40", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_128" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_39", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_40" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_129", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_39" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_57", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_164", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_128" + }, + { + "tensor": "rsqrt_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_130", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_165", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_164" + }, + { + "tensor": "add_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_30", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_165" + }, + { + "tensor": "add_128" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_93", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_55", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_93" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_94", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_78", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_94" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_95", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_96", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_30" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_22", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_24" + }, + { + "tensor": "transpose_55" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_112", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_22" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_9", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_25", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_9" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_9", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_22" + }, + { + "tensor": "unsqueeze_25" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_113", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_9" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_30", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_114", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_30" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_56", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_114" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_115", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_116", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_117", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_56" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_79", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_115" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_80", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_116" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_81", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_117" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_12", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_9", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_15", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_131", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_96" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_9", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_166", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_15" + }, + { + "tensor": "softplus_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_167", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_79" + }, + { + "tensor": "view_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_19", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_167" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_132", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_19" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_58", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_132" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_168", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_79" + }, + { + "tensor": "rsqrt_58" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_169", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_80" + }, + { + "tensor": "view_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_20", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_169" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_133", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_20" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_59", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_133" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_170", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_80" + }, + { + "tensor": "rsqrt_59" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_9", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_168" + }, + { + "tensor": "mul_170" + }, + { + "tensor": "view_81" + }, + { + "tensor": "mul_166" + }, + { + "tensor": "sigmoid_12" + }, + { + "tensor": "states_25" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_118", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_9" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_119", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_9" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_57", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_119" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_21", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_57" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_82", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_21" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_83", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_78" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_41", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_82" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_40", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_41" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_134", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_40" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_60", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_134" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_171", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_82" + }, + { + "tensor": "rsqrt_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_172", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_norm_weight" + }, + { + "tensor": "mul_171" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_31", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_173", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_172" + }, + { + "tensor": "silu_31" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_84", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_173" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_97", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_84" + }, + { + "tensor": "p_model_model_language_model_layers_12_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_135", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_128" + }, + { + "tensor": "linear_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_42", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_135" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_41", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_42" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_136", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_41" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_61", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_136" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_174", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_135" + }, + { + "tensor": "rsqrt_61" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_137", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_12_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_175", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_174" + }, + { + "tensor": "add_137" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_31", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_175" + }, + { + "tensor": "add_135" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_98", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_31" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_32", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_99", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_31" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_176", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_32" + }, + { + "tensor": "linear_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_100", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_176" + }, + { + "tensor": "p_model_model_language_model_layers_12_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_138", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_135" + }, + { + "tensor": "linear_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_43", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_138" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_42", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_43" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_139", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_42" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_62", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_177", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_138" + }, + { + "tensor": "rsqrt_62" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_140", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_178", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_177" + }, + { + "tensor": "add_140" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_32", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_178" + }, + { + "tensor": "add_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_101", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_58", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_101" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_102", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_85", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_102" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_103", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_104", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_32" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_23", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_26" + }, + { + "tensor": "transpose_58" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_120", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_23" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_10", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_26", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_10" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_10", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_23" + }, + { + "tensor": "unsqueeze_26" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_121", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_10" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_33", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_122", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_33" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_59", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_122" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_123", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_124", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_125", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_59" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_86", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_123" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_87", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_124" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_88", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_125" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_13", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_10", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_16", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_141", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_104" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_10", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_141" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_179", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_16" + }, + { + "tensor": "softplus_10" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_180", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_86" + }, + { + "tensor": "view_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_21", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_180" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_142", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_21" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_63", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_181", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_86" + }, + { + "tensor": "rsqrt_63" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_182", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_87" + }, + { + "tensor": "view_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_22", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_182" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_143", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_22" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_64", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_183", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_87" + }, + { + "tensor": "rsqrt_64" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_10", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_181" + }, + { + "tensor": "mul_183" + }, + { + "tensor": "view_88" + }, + { + "tensor": "mul_179" + }, + { + "tensor": "sigmoid_13" + }, + { + "tensor": "states_27" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_126", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_10" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_127", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_10" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_60", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_127" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_22", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_60" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_89", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_22" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_90", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_85" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_44", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_89" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_43", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_44" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_144", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_43" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_65", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_144" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_184", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_89" + }, + { + "tensor": "rsqrt_65" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_185", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_norm_weight" + }, + { + "tensor": "mul_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_34", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_186", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_185" + }, + { + "tensor": "silu_34" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_91", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_186" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_105", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_91" + }, + { + "tensor": "p_model_model_language_model_layers_13_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_145", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_138" + }, + { + "tensor": "linear_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_45", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_145" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_44", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_45" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_146", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_44" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_66", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_187", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_145" + }, + { + "tensor": "rsqrt_66" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_147", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_13_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_188", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_187" + }, + { + "tensor": "add_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_33", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_188" + }, + { + "tensor": "add_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_106", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_33" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_35", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_107", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_33" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_189", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_35" + }, + { + "tensor": "linear_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_108", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_189" + }, + { + "tensor": "p_model_model_language_model_layers_13_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_148", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_145" + }, + { + "tensor": "linear_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_46", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_148" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_45", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_46" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_149", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_45" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_67", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_149" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_190", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_148" + }, + { + "tensor": "rsqrt_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_150", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_191", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_190" + }, + { + "tensor": "add_150" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_34", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_191" + }, + { + "tensor": "add_148" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_109", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_61", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_109" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_110", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_92", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_110" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_111", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_112", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_34" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_24", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_28" + }, + { + "tensor": "transpose_61" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_128", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_24" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_11", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_27", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_11" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_11", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_24" + }, + { + "tensor": "unsqueeze_27" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_129", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_11" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_36", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_130", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_36" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_62", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_130" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_131", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_132", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_133", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_62" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_93", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_131" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_94", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_132" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_95", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_133" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_14", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_11", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_17", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_151", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_112" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_11", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_151" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_192", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_17" + }, + { + "tensor": "softplus_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_193", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_93" + }, + { + "tensor": "view_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_23", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_193" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_152", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_23" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_68", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_194", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_93" + }, + { + "tensor": "rsqrt_68" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_195", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_94" + }, + { + "tensor": "view_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_24", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_195" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_153", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_24" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_69", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_196", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_94" + }, + { + "tensor": "rsqrt_69" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_11", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_194" + }, + { + "tensor": "mul_196" + }, + { + "tensor": "view_95" + }, + { + "tensor": "mul_192" + }, + { + "tensor": "sigmoid_14" + }, + { + "tensor": "states_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_134", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_11" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_135", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_11" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_63", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_135" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_23", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_63" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_96", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_23" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_97", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_92" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_47", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_96" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_46", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_47" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_154", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_46" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_70", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_154" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_197", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_96" + }, + { + "tensor": "rsqrt_70" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_198", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_norm_weight" + }, + { + "tensor": "mul_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_37", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_199", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_198" + }, + { + "tensor": "silu_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_98", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_199" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_113", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_98" + }, + { + "tensor": "p_model_model_language_model_layers_14_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_155", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_148" + }, + { + "tensor": "linear_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_48", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_155" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_47", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_48" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_156", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_47" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_71", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_156" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_200", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_155" + }, + { + "tensor": "rsqrt_71" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_157", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_14_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_201", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_200" + }, + { + "tensor": "add_157" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_35", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_201" + }, + { + "tensor": "add_155" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_114", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_35" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_38", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_115", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_35" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_202", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_38" + }, + { + "tensor": "linear_115" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_116", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_202" + }, + { + "tensor": "p_model_model_language_model_layers_14_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_158", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_155" + }, + { + "tensor": "linear_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_49", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_158" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_48", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_49" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_159", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_48" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_72", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_159" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_203", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_158" + }, + { + "tensor": "rsqrt_72" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_160", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_204", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_203" + }, + { + "tensor": "add_160" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_36", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_204" + }, + { + "tensor": "add_158" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_117", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_99", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_117" + }, + [ + 1, + 64, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_136", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_99" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_137", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_99" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_24", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_137" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_9", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_24" + }, + [ + 1, + 64, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_100", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_136" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_50", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_100" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_49", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_50" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_161", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_49" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_73", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_161" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_205", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_100" + }, + { + "tensor": "rsqrt_73" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_162", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_206", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_205" + }, + { + "tensor": "add_162" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_37", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_206" + }, + { + "tensor": "view_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_64", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_37" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_118", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_101", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_118" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_51", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_101" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_50", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_51" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_163", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_50" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_74", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_163" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_207", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_101" + }, + { + "tensor": "rsqrt_74" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_164", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_208", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_207" + }, + { + "tensor": "add_164" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_38", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_208" + }, + { + "tensor": "view_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_65", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_38" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_119", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_36" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_102", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_119" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_66", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_102" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_28", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_29", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_138", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_64" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_139", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_64" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_140", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_65" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_141", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_65" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_209", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + { + "tensor": "unsqueeze_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_142", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_143", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_138" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_18", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_143" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_25", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_18" + }, + { + "tensor": "slice_142" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_210", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_25" + }, + { + "tensor": "unsqueeze_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_165", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_209" + }, + { + "tensor": "mul_210" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_211", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + { + "tensor": "unsqueeze_28" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_144", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_145", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_140" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_19", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_26", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_19" + }, + { + "tensor": "slice_144" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_212", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_26" + }, + { + "tensor": "unsqueeze_29" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_166", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_211" + }, + { + "tensor": "mul_212" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_27", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_165" + }, + { + "tensor": "slice_139" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_28", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_166" + }, + { + "tensor": "slice_141" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_6", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_30" + }, + { + "tensor": "cat_28" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_7", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_31" + }, + { + "tensor": "transpose_66" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_30", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_6" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_7", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_30" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_25", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_7" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_10", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_25" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_31", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_7" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_8", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_31" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_26", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_8" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_11", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_26" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_67", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_10" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_7", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_27" + }, + { + "tensor": "transpose_67" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_213", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_7" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_167", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_213" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_3", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_167" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_8", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_3" + }, + { + "tensor": "_unsafe_view_11" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_68", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_8" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_27", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_68" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_103", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_27" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_15", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_9" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_214", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_103" + }, + { + "tensor": "sigmoid_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_120", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_214" + }, + { + "tensor": "p_model_model_language_model_layers_15_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_168", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_158" + }, + { + "tensor": "linear_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_52", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_168" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_51", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_52" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_169", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_51" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_75", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_169" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_215", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_168" + }, + { + "tensor": "rsqrt_75" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_170", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_15_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_216", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_215" + }, + { + "tensor": "add_170" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_39", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_216" + }, + { + "tensor": "add_168" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_121", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_39" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_39", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_121" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_122", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_39" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_217", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_39" + }, + { + "tensor": "linear_122" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_123", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_217" + }, + { + "tensor": "p_model_model_language_model_layers_15_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_171", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_168" + }, + { + "tensor": "linear_123" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_53", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_171" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_52", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_53" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_172", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_52" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_76", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_172" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_218", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_171" + }, + { + "tensor": "rsqrt_76" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_173", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_219", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_218" + }, + { + "tensor": "add_173" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_40", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_219" + }, + { + "tensor": "add_171" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_124", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_69", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_124" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_125", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_104", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_125" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_126", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_127", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_40" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_29", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_32" + }, + { + "tensor": "transpose_69" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_146", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_29" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_12", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_32", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_12" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_12", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_29" + }, + { + "tensor": "unsqueeze_32" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_147", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_12" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_40", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_148", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_40" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_70", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_148" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_149", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_150", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_151", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_70" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_105", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_149" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_106", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_150" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_107", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_151" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_16", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_12", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_20", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_174", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_127" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_12", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_174" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_220", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_20" + }, + { + "tensor": "softplus_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_221", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_105" + }, + { + "tensor": "view_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_25", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_221" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_175", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_25" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_77", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_175" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_222", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_105" + }, + { + "tensor": "rsqrt_77" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_223", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_106" + }, + { + "tensor": "view_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_26", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_223" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_176", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_26" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_78", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_176" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_224", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_106" + }, + { + "tensor": "rsqrt_78" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_12", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_222" + }, + { + "tensor": "mul_224" + }, + { + "tensor": "view_107" + }, + { + "tensor": "mul_220" + }, + { + "tensor": "sigmoid_16" + }, + { + "tensor": "states_33" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_152", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_12" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_153", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_12" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_71", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_153" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_28", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_71" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_108", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_28" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_109", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_104" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_54", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_108" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_53", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_54" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_177", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_53" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_79", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_225", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_108" + }, + { + "tensor": "rsqrt_79" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_226", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_norm_weight" + }, + { + "tensor": "mul_225" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_41", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_227", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_226" + }, + { + "tensor": "silu_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_110", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_227" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_128", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_110" + }, + { + "tensor": "p_model_model_language_model_layers_16_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_178", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_171" + }, + { + "tensor": "linear_128" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_55", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_178" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_54", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_55" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_179", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_54" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_80", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_179" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_228", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_178" + }, + { + "tensor": "rsqrt_80" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_180", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_16_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_229", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_228" + }, + { + "tensor": "add_180" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_41", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_229" + }, + { + "tensor": "add_178" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_129", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_41" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_42", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_129" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_130", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_41" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_230", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_42" + }, + { + "tensor": "linear_130" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_131", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_230" + }, + { + "tensor": "p_model_model_language_model_layers_16_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_181", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_178" + }, + { + "tensor": "linear_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_56", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_181" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_55", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_56" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_182", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_55" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_81", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_182" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_231", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_181" + }, + { + "tensor": "rsqrt_81" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_183", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_232", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_231" + }, + { + "tensor": "add_183" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_42", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_232" + }, + { + "tensor": "add_181" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_132", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_72", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_132" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_133", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_111", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_133" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_134", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_135", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_42" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_30", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_34" + }, + { + "tensor": "transpose_72" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_154", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_30" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_13", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_33", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_13" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_13", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_30" + }, + { + "tensor": "unsqueeze_33" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_155", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_13" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_43", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_155" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_156", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_43" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_73", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_156" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_157", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_158", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_159", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_73" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_112", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_157" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_113", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_158" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_114", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_159" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_17", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_134" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_13", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_21", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_184", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_135" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_13", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_233", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_21" + }, + { + "tensor": "softplus_13" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_234", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_112" + }, + { + "tensor": "view_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_27", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_234" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_185", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_27" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_82", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_185" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_235", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_112" + }, + { + "tensor": "rsqrt_82" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_236", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_113" + }, + { + "tensor": "view_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_28", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_236" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_186", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_28" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_83", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_186" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_237", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_113" + }, + { + "tensor": "rsqrt_83" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_13", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_235" + }, + { + "tensor": "mul_237" + }, + { + "tensor": "view_114" + }, + { + "tensor": "mul_233" + }, + { + "tensor": "sigmoid_17" + }, + { + "tensor": "states_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_160", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_13" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_161", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_13" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_74", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_161" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_29", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_74" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_115", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_29" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_116", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_111" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_57", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_115" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_56", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_57" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_187", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_56" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_84", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_187" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_238", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_115" + }, + { + "tensor": "rsqrt_84" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_239", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_norm_weight" + }, + { + "tensor": "mul_238" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_44", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_116" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_240", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_239" + }, + { + "tensor": "silu_44" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_117", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_240" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_136", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_117" + }, + { + "tensor": "p_model_model_language_model_layers_17_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_188", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_181" + }, + { + "tensor": "linear_136" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_58", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_188" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_57", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_58" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_189", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_57" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_85", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_189" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_241", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_188" + }, + { + "tensor": "rsqrt_85" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_190", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_17_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_242", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_241" + }, + { + "tensor": "add_190" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_43", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_242" + }, + { + "tensor": "add_188" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_137", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_43" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_45", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_137" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_138", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_43" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_243", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_45" + }, + { + "tensor": "linear_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_139", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_243" + }, + { + "tensor": "p_model_model_language_model_layers_17_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_191", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_188" + }, + { + "tensor": "linear_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_59", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_191" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_58", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_59" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_192", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_58" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_86", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_192" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_244", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_191" + }, + { + "tensor": "rsqrt_86" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_193", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_245", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_244" + }, + { + "tensor": "add_193" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_44", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_245" + }, + { + "tensor": "add_191" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_140", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_75", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_140" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_141", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_118", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_141" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_142", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_143", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_44" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_31", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_36" + }, + { + "tensor": "transpose_75" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_162", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_31" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_14", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_34", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_14" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_14", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_31" + }, + { + "tensor": "unsqueeze_34" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_163", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_14" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_46", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_163" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_164", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_46" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_76", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_164" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_165", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_166", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_167", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_76" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_119", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_165" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_120", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_166" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_121", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_167" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_18", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_14", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_22", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_194", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_143" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_14", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_194" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_246", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_22" + }, + { + "tensor": "softplus_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_247", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_119" + }, + { + "tensor": "view_119" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_29", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_247" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_195", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_29" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_87", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_195" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_248", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_119" + }, + { + "tensor": "rsqrt_87" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_249", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_120" + }, + { + "tensor": "view_120" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_30", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_249" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_196", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_30" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_88", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_196" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_250", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_120" + }, + { + "tensor": "rsqrt_88" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_14", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_248" + }, + { + "tensor": "mul_250" + }, + { + "tensor": "view_121" + }, + { + "tensor": "mul_246" + }, + { + "tensor": "sigmoid_18" + }, + { + "tensor": "states_37" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_168", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_14" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_169", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_14" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_77", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_169" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_30", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_77" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_122", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_30" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_123", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_118" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_60", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_122" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_59", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_60" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_197", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_59" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_89", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_251", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_122" + }, + { + "tensor": "rsqrt_89" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_252", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_norm_weight" + }, + { + "tensor": "mul_251" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_47", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_123" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_253", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_252" + }, + { + "tensor": "silu_47" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_124", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_253" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_144", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_124" + }, + { + "tensor": "p_model_model_language_model_layers_18_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_198", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_191" + }, + { + "tensor": "linear_144" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_61", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_198" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_60", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_61" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_199", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_60" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_90", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_199" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_254", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_198" + }, + { + "tensor": "rsqrt_90" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_200", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_18_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_255", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_254" + }, + { + "tensor": "add_200" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_45", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_255" + }, + { + "tensor": "add_198" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_145", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_45" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_48", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_146", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_45" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_256", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_48" + }, + { + "tensor": "linear_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_147", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_256" + }, + { + "tensor": "p_model_model_language_model_layers_18_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_201", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_198" + }, + { + "tensor": "linear_147" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_62", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_201" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_61", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_62" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_202", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_61" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_91", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_202" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_257", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_201" + }, + { + "tensor": "rsqrt_91" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_203", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_258", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_257" + }, + { + "tensor": "add_203" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_46", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_258" + }, + { + "tensor": "add_201" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_148", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_125", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_148" + }, + [ + 1, + 64, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_170", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_125" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_171", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_125" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_31", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_171" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_12", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_31" + }, + [ + 1, + 64, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_126", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_170" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_63", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_126" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_62", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_63" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_204", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_62" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_92", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_204" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_259", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_126" + }, + { + "tensor": "rsqrt_92" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_205", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_260", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_259" + }, + { + "tensor": "add_205" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_47", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_260" + }, + { + "tensor": "view_126" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_78", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_47" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_149", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_127", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_149" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_64", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_127" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_63", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_64" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_206", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_63" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_93", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_206" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_261", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_127" + }, + { + "tensor": "rsqrt_93" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_207", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_262", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_261" + }, + { + "tensor": "add_207" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_48", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_262" + }, + { + "tensor": "view_127" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_79", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_48" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_150", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_46" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_128", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_150" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_80", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_128" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_35", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_36", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_172", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_78" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_173", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_78" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_174", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_79" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_175", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_79" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_263", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + { + "tensor": "unsqueeze_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_176", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_177", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_172" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_23", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_32", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_23" + }, + { + "tensor": "slice_176" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_264", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_32" + }, + { + "tensor": "unsqueeze_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_208", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_263" + }, + { + "tensor": "mul_264" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_265", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + { + "tensor": "unsqueeze_35" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_178", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_179", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_174" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_24", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_179" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_33", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_24" + }, + { + "tensor": "slice_178" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_266", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_33" + }, + { + "tensor": "unsqueeze_36" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_209", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_265" + }, + { + "tensor": "mul_266" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_34", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_208" + }, + { + "tensor": "slice_173" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_35", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_209" + }, + { + "tensor": "slice_175" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_8", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_38" + }, + { + "tensor": "cat_35" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_9", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_39" + }, + { + "tensor": "transpose_80" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_37", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_8" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_9", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_37" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_32", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_9" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_13", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_32" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_38", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_9" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_10", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_38" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_33", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_10" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_14", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_33" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_81", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_13" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_9", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_34" + }, + { + "tensor": "transpose_81" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_267", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_9" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_210", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_267" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_4", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_210" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_10", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_4" + }, + { + "tensor": "_unsafe_view_14" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_82", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_10" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_34", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_82" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_129", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_34" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_19", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_12" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_268", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_129" + }, + { + "tensor": "sigmoid_19" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_151", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_268" + }, + { + "tensor": "p_model_model_language_model_layers_19_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_211", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_201" + }, + { + "tensor": "linear_151" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_65", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_211" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_64", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_65" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_212", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_64" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_94", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_212" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_269", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_211" + }, + { + "tensor": "rsqrt_94" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_213", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_19_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_270", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_269" + }, + { + "tensor": "add_213" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_49", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_270" + }, + { + "tensor": "add_211" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_152", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_49" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_49", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_153", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_49" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_271", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_49" + }, + { + "tensor": "linear_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_154", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_271" + }, + { + "tensor": "p_model_model_language_model_layers_19_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_214", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_211" + }, + { + "tensor": "linear_154" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_66", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_214" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_65", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_66" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_215", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_65" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_95", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_215" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_272", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_214" + }, + { + "tensor": "rsqrt_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_216", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_273", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_272" + }, + { + "tensor": "add_216" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_50", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_273" + }, + { + "tensor": "add_214" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_155", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_83", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_155" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_156", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_130", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_156" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_157", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_158", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_50" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_36", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_40" + }, + { + "tensor": "transpose_83" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_180", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_36" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_15", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_39", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_15" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_15", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_36" + }, + { + "tensor": "unsqueeze_39" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_181", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_15" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_50", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_181" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_182", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_50" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_84", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_182" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_183", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_184", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_185", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_84" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_131", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_183" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_132", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_184" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_133", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_185" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_20", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_157" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_15", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_25", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_217", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_158" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_15", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_217" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_274", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_25" + }, + { + "tensor": "softplus_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_275", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_131" + }, + { + "tensor": "view_131" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_31", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_275" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_218", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_31" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_96", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_218" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_276", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_131" + }, + { + "tensor": "rsqrt_96" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_277", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_132" + }, + { + "tensor": "view_132" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_32", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_277" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_219", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_32" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_97", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_219" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_278", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_132" + }, + { + "tensor": "rsqrt_97" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_15", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_276" + }, + { + "tensor": "mul_278" + }, + { + "tensor": "view_133" + }, + { + "tensor": "mul_274" + }, + { + "tensor": "sigmoid_20" + }, + { + "tensor": "states_41" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_186", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_15" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_187", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_15" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_85", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_187" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_35", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_85" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_134", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_35" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_135", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_130" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_67", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_134" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_66", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_67" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_220", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_66" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_98", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_220" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_279", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_134" + }, + { + "tensor": "rsqrt_98" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_280", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_norm_weight" + }, + { + "tensor": "mul_279" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_51", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_135" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_281", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_280" + }, + { + "tensor": "silu_51" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_136", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_281" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_159", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_136" + }, + { + "tensor": "p_model_model_language_model_layers_20_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_221", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_214" + }, + { + "tensor": "linear_159" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_68", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_221" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_67", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_68" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_222", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_67" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_99", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_222" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_282", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_221" + }, + { + "tensor": "rsqrt_99" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_223", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_20_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_283", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_282" + }, + { + "tensor": "add_223" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_51", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_283" + }, + { + "tensor": "add_221" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_160", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_51" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_52", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_160" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_161", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_51" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_284", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_52" + }, + { + "tensor": "linear_161" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_162", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_284" + }, + { + "tensor": "p_model_model_language_model_layers_20_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_224", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_221" + }, + { + "tensor": "linear_162" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_69", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_224" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_68", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_69" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_225", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_68" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_100", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_225" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_285", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_224" + }, + { + "tensor": "rsqrt_100" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_226", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_286", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_285" + }, + { + "tensor": "add_226" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_52", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_286" + }, + { + "tensor": "add_224" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_163", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_86", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_163" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_164", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_137", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_164" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_165", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_166", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_52" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_37", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_42" + }, + { + "tensor": "transpose_86" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_188", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_37" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_16", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_40", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_16" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_16", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_37" + }, + { + "tensor": "unsqueeze_40" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_189", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_16" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_53", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_189" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_190", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_53" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_87", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_190" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_191", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_192", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_193", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_87" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_138", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_191" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_139", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_192" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_140", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_193" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_21", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_165" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_16", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_26", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_227", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_166" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_16", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_227" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_287", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_26" + }, + { + "tensor": "softplus_16" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_288", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_138" + }, + { + "tensor": "view_138" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_33", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_288" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_228", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_33" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_101", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_228" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_289", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_138" + }, + { + "tensor": "rsqrt_101" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_290", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_139" + }, + { + "tensor": "view_139" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_34", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_290" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_229", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_34" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_102", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_229" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_291", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_139" + }, + { + "tensor": "rsqrt_102" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_16", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_289" + }, + { + "tensor": "mul_291" + }, + { + "tensor": "view_140" + }, + { + "tensor": "mul_287" + }, + { + "tensor": "sigmoid_21" + }, + { + "tensor": "states_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_194", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_16" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_195", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_16" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_88", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_195" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_36", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_88" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_141", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_36" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_142", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_137" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_70", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_141" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_69", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_70" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_230", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_69" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_103", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_230" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_292", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_141" + }, + { + "tensor": "rsqrt_103" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_293", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_norm_weight" + }, + { + "tensor": "mul_292" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_54", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_142" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_294", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_293" + }, + { + "tensor": "silu_54" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_143", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_294" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_167", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_143" + }, + { + "tensor": "p_model_model_language_model_layers_21_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_231", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_224" + }, + { + "tensor": "linear_167" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_71", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_231" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_70", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_71" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_232", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_70" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_104", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_232" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_295", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_231" + }, + { + "tensor": "rsqrt_104" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_233", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_21_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_296", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_295" + }, + { + "tensor": "add_233" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_53", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_296" + }, + { + "tensor": "add_231" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_168", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_53" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_55", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_168" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_169", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_53" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_297", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_55" + }, + { + "tensor": "linear_169" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_170", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_297" + }, + { + "tensor": "p_model_model_language_model_layers_21_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_234", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_231" + }, + { + "tensor": "linear_170" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_72", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_234" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_71", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_72" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_235", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_71" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_105", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_235" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_298", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_234" + }, + { + "tensor": "rsqrt_105" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_236", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_299", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_298" + }, + { + "tensor": "add_236" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_54", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_299" + }, + { + "tensor": "add_234" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_171", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_qkv_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 448, in forward\n mixed_qkv = self.in_proj_qkv(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_89", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "linear_171" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 449, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_172", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_z_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 451, in forward\n z = self.in_proj_z(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_144", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_172" + }, + [ + 1, + 64, + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 452, in forward\n z = z.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_173", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_b_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 454, in forward\n b = self.in_proj_b(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_174", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_54" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_in_proj_a_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 455, in forward\n a = self.in_proj_a(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_38", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "states_44" + }, + { + "tensor": "transpose_89" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 96, in update_conv_state\n combined = torch.cat([self.states[2 * layer_idx], value], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_196", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "cat_38" + }, + 2, + -4, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 469, in forward\n mixed_qkv = cache_params.update_conv_state(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 97, in update_conv_state\n self.states[2 * layer_idx] = combined[..., -conv_kernel_size:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "squeeze_17", + "op": "aten.squeeze.dim", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_conv1d_weight" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 475, in forward\n self.conv1d.weight.squeeze(1)," + }, + { + "id": "unsqueeze_41", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "squeeze_17" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 232, in causal_conv1d_fn\n weight=weight.unsqueeze(1),\n ^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "conv1d_17", + "op": "aten.conv1d.default", + "args": [ + { + "tensor": "cat_38" + }, + { + "tensor": "unsqueeze_41" + }, + null, + [ + 1 + ], + [ + 3 + ], + [ + 1 + ], + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "slice_197", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "conv1d_17" + }, + 2, + 0, + 68 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 230, in causal_conv1d_fn\n out = F.conv1d(\n ^^^^^^^^^" + }, + { + "id": "silu_56", + "op": "aten.silu.default", + "args": [ + { + "tensor": "slice_197" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 473, in forward\n mixed_qkv = causal_conv1d_fn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/hub_kernels.py\", line 861, in wrapped\n return implementation(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 238, in causal_conv1d_fn\n out = ACT2FN[activation](out)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_198", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "silu_56" + }, + 2, + -64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 483, in forward\n mixed_qkv = mixed_qkv[:, :, -seq_len:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_90", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_198" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 485, in forward\n mixed_qkv = mixed_qkv.transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_199", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 0, + 2048 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_200", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 2048, + 4096 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_201", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_90" + }, + -1, + 4096, + 6144 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 486, in forward\n query, key, value = torch.split(\n ^^^^^^^^^^^^" + }, + { + "id": "view_145", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_199" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 496, in forward\n query = query.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_146", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_200" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 497, in forward\n key = key.reshape(batch_size, seq_len, -1, self.head_k_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_147", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_201" + }, + [ + 1, + 64, + 16, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 498, in forward\n value = value.reshape(batch_size, seq_len, -1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_22", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "linear_173" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 500, in forward\n beta = b.sigmoid()\n ^^^^^^^^^^^" + }, + { + "id": "exp_17", + "op": "aten.exp.default", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_a_log" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_27", + "op": "aten.neg.default", + "args": [ + { + "tensor": "exp_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_237", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "linear_174" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_dt_bias" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softplus_17", + "op": "aten.softplus.default", + "args": [ + { + "tensor": "add_237" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_300", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "neg_27" + }, + { + "tensor": "softplus_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 502, in forward\n g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_301", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_145" + }, + { + "tensor": "view_145" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_35", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_301" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_238", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_35" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_106", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_238" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_302", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_145" + }, + { + "tensor": "rsqrt_106" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 26, in _webtorch_chunk_gated_delta_rule\n query = l2norm(query, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "mul_303", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_146" + }, + { + "tensor": "view_146" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sum_36", + "op": "aten.sum.dim_IntList", + "args": [ + { + "tensor": "mul_303" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_239", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "sum_36" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_107", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_239" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 244, in l2norm\n inv_norm = torch.rsqrt((x * x).sum(dim=dim, keepdim=True) + eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_304", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_146" + }, + { + "tensor": "rsqrt_107" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 27, in _webtorch_chunk_gated_delta_rule\n key = l2norm(key, dim=-1, eps=1e-6)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 245, in l2norm\n return x * inv_norm\n ^^^^^^^^^^^^" + }, + { + "id": "normalized_gated_delta_rule_17", + "op": "webtorch.normalized_gated_delta_rule.default", + "args": [ + { + "tensor": "mul_302" + }, + { + "tensor": "mul_304" + }, + { + "tensor": "view_147" + }, + { + "tensor": "mul_300" + }, + { + "tensor": "sigmoid_22" + }, + { + "tensor": "states_45" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 28, in _webtorch_chunk_gated_delta_rule\n packed = normalized_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_202", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_17" + }, + 2, + 0, + 128 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 32, in _webtorch_chunk_gated_delta_rule\n final_state = packed[:, :, :key_width]\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_203", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "normalized_gated_delta_rule_17" + }, + 2, + 128, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_91", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "slice_203" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_37", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_91" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 522, in forward\n core_attn_out, last_recurrent_state = torch_chunk_gated_delta_rule(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 33, in _webtorch_chunk_gated_delta_rule\n output = packed[:, :, key_width:].transpose(1, 2).contiguous().to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_148", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_37" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 540, in forward\n core_attn_out = core_attn_out.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_149", + "op": "aten.view.default", + "args": [ + { + "tensor": "view_144" + }, + [ + -1, + 128 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 541, in forward\n z = z.reshape(-1, self.head_v_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_73", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_148" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_72", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_73" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 178, in forward\n variance = hidden_states.pow(2).mean(-1, keepdim=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_240", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_72" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_108", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_240" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_305", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_148" + }, + { + "tensor": "rsqrt_108" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 180, in forward\n hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_306", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_norm_weight" + }, + { + "tensor": "mul_305" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 181, in forward\n hidden_states = self.weight * hidden_states.to(input_dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_57", + "op": "aten.silu.default", + "args": [ + { + "tensor": "view_149" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_307", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_306" + }, + { + "tensor": "silu_57" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 542, in forward\n core_attn_out = self.norm(core_attn_out, z)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 182, in forward\n hidden_states = hidden_states * ACT2FN[self.activation](gate.to(torch.float32))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_150", + "op": "aten.view.default", + "args": [ + { + "tensor": "mul_307" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 543, in forward\n core_attn_out = core_attn_out.reshape(batch_size, seq_len, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_175", + "op": "aten.linear.default", + "args": [ + { + "tensor": "view_150" + }, + { + "tensor": "p_model_model_language_model_layers_22_linear_attn_out_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 771, in forward\n hidden_states = self.linear_attn(\n ^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/integrations/accelerate.py\", line 1010, in wrapped\n output = forward_func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 545, in forward\n output = self.out_proj(core_attn_out)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_241", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_234" + }, + { + "tensor": "linear_175" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_74", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_241" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_73", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_74" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_242", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_73" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_109", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_242" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_308", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_241" + }, + { + "tensor": "rsqrt_109" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_243", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_22_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_309", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_308" + }, + { + "tensor": "add_243" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_55", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_309" + }, + { + "tensor": "add_241" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_176", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_55" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_58", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_176" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_177", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_55" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_310", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_58" + }, + { + "tensor": "linear_177" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_178", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_310" + }, + { + "tensor": "p_model_model_language_model_layers_22_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_244", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_241" + }, + { + "tensor": "linear_178" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_75", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_244" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_74", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_75" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_245", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_74" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_110", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_245" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_311", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_244" + }, + { + "tensor": "rsqrt_110" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_246", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_input_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_312", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_311" + }, + { + "tensor": "add_246" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_56", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_312" + }, + { + "tensor": "add_244" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 767, in forward\n hidden_states = self.input_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_179", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_q_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "view_151", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_179" + }, + [ + 1, + 64, + -1, + 512 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 671, in forward\n self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1" + }, + { + "id": "slice_204", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_151" + }, + -1, + 0, + 256 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "slice_205", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "view_151" + }, + -1, + 256, + 512 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 670, in forward\n query_states, gate = torch.chunk(\n ^^^^^^^^^^^^" + }, + { + "id": "clone_38", + "op": "aten.clone.default", + "args": [ + { + "tensor": "slice_205" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_15", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_38" + }, + [ + 1, + 64, + 2048 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 673, in forward\n gate = gate.reshape(*input_shape, -1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_152", + "op": "aten.view.default", + "args": [ + { + "tensor": "slice_204" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_76", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_152" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_75", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_76" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_247", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_75" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_111", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_247" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_313", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_152" + }, + { + "tensor": "rsqrt_111" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_248", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_self_attn_q_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_314", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_313" + }, + { + "tensor": "add_248" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_57", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_314" + }, + { + "tensor": "view_152" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_92", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_57" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 675, in forward\n query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_180", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_k_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_153", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_180" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_77", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "view_153" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_76", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_77" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_249", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_76" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_112", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_249" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_315", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_153" + }, + { + "tensor": "rsqrt_112" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_250", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_self_attn_k_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_316", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_315" + }, + { + "tensor": "add_250" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_58", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_316" + }, + { + "tensor": "view_153" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_93", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "type_as_58" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 676, in forward\n key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_181", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_56" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_v_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_154", + "op": "aten.view.default", + "args": [ + { + "tensor": "linear_181" + }, + [ + 1, + 64, + -1, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_94", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "view_154" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 677, in forward\n value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_42", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 577, in apply_rotary_pos_emb\n cos = cos.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_43", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "mul_1" + }, + 1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 578, in apply_rotary_pos_emb\n sin = sin.unsqueeze(unsqueeze_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_206", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_92" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_207", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_92" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 582, in apply_rotary_pos_emb\n q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_208", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_93" + }, + 3, + 0, + 64 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_209", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "transpose_93" + }, + 3, + 64, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 583, in apply_rotary_pos_emb\n k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:]\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_317", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + { + "tensor": "unsqueeze_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_210", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_211", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_206" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_28", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_211" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_39", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_28" + }, + { + "tensor": "slice_210" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_318", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_39" + }, + { + "tensor": "unsqueeze_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_251", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_317" + }, + { + "tensor": "mul_318" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 586, in apply_rotary_pos_emb\n q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_319", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + { + "tensor": "unsqueeze_42" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_212", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + 3, + 0, + 32 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 551, in rotate_half\n x1 = x[..., : x.shape[-1] // 2]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "slice_213", + "op": "aten.slice.Tensor", + "args": [ + { + "tensor": "slice_208" + }, + 3, + 32, + 9223372036854775807 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 552, in rotate_half\n x2 = x[..., x.shape[-1] // 2 :]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "neg_29", + "op": "aten.neg.default", + "args": [ + { + "tensor": "slice_213" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_40", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "neg_29" + }, + { + "tensor": "slice_212" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 553, in rotate_half\n return torch.cat((-x2, x1), dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_320", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "cat_40" + }, + { + "tensor": "unsqueeze_43" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_252", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_319" + }, + { + "tensor": "mul_320" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 587, in apply_rotary_pos_emb\n k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_41", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_251" + }, + { + "tensor": "slice_207" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 590, in apply_rotary_pos_emb\n q_embed = torch.cat([q_embed, q_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cat_42", + "op": "aten.cat.default", + "args": [ + [ + { + "tensor": "add_252" + }, + { + "tensor": "slice_209" + } + ], + -1 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 680, in forward\n query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 591, in apply_rotary_pos_emb\n k_embed = torch.cat([k_embed, k_pass], dim=-1)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_10", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_46" + }, + { + "tensor": "cat_42" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 91, in update\n self.states[2 * layer_idx] = cache_update(self.states[2 * layer_idx], key, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "cache_update_11", + "op": "webtorch.cache_update.default", + "args": [ + { + "tensor": "states_47" + }, + { + "tensor": "transpose_94" + }, + { + "tensor": "cache_position" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 683, in forward\n key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 92, in update\n self.states[2 * layer_idx + 1] = cache_update(self.states[2 * layer_idx + 1], value, self.positions)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_44", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_10" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_11", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_44" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_39", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_11" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_16", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_39" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 617, in eager_attention_forward\n key_states = repeat_kv(key, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "unsqueeze_45", + "op": "aten.unsqueeze.default", + "args": [ + { + "tensor": "cache_update_11" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "expand_12", + "op": "aten.expand.default", + "args": [ + { + "tensor": "unsqueeze_45" + }, + [ + 1, + 2, + 4, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 603, in repeat_kv\n hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_40", + "op": "aten.clone.default", + "args": [ + { + "tensor": "expand_12" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "_unsafe_view_17", + "op": "aten._unsafe_view.default", + "args": [ + { + "tensor": "clone_40" + }, + [ + 1, + 8, + 4096, + 256 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 618, in eager_attention_forward\n value_states = repeat_kv(value, module.num_key_value_groups)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 604, in repeat_kv\n return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_95", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "_unsafe_view_16" + }, + 2, + 3 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_11", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "cat_41" + }, + { + "tensor": "transpose_95" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_321", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "matmul_11" + }, + 0.0625 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 620, in eager_attention_forward\n attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_253", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mul_321" + }, + { + "tensor": "attention_mask" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 622, in eager_attention_forward\n attn_weights = attn_weights + attention_mask\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "softmax_5", + "op": "aten.softmax.int", + "args": [ + { + "tensor": "add_253" + }, + -1, + { + "dtype": "float32" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 624, in eager_attention_forward\n attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "matmul_12", + "op": "aten.matmul.default", + "args": [ + { + "tensor": "softmax_5" + }, + { + "tensor": "_unsafe_view_17" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 626, in eager_attention_forward\n attn_output = torch.matmul(attn_weights, value_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "transpose_96", + "op": "aten.transpose.int", + "args": [ + { + "tensor": "matmul_12" + }, + 1, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "clone_41", + "op": "aten.clone.default", + "args": [ + { + "tensor": "transpose_96" + } + ], + "kwargs": { + "memory_format": { + "memoryFormat": "contiguous_format" + } + }, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 689, in forward\n attn_output, attn_weights = attention_interface(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 627, in eager_attention_forward\n attn_output = attn_output.transpose(1, 2).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "view_155", + "op": "aten.view.default", + "args": [ + { + "tensor": "clone_41" + }, + [ + 1, + 64, + -1 + ] + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 700, in forward\n attn_output = attn_output.reshape(*input_shape, -1).contiguous()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "sigmoid_23", + "op": "aten.sigmoid.default", + "args": [ + { + "tensor": "_unsafe_view_15" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_322", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "view_155" + }, + { + "tensor": "sigmoid_23" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 701, in forward\n attn_output = attn_output * torch.sigmoid(gate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_182", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_322" + }, + { + "tensor": "p_model_model_language_model_layers_23_self_attn_o_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 779, in forward\n hidden_states, _ = self.self_attn(\n ^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 703, in forward\n attn_output = self.o_proj(attn_output)\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_254", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_244" + }, + { + "tensor": "linear_182" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 788, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_78", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_254" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_77", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_78" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_255", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_77" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_113", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_255" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_323", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_254" + }, + { + "tensor": "rsqrt_113" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_256", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_layers_23_post_attention_layernorm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_324", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_323" + }, + { + "tensor": "add_256" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_59", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_324" + }, + { + "tensor": "add_254" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 792, in forward\n hidden_states = self.post_attention_layernorm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_183", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_59" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_gate_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "silu_59", + "op": "aten.silu.default", + "args": [ + { + "tensor": "linear_183" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/activations.py\", line 103, in forward\n return nn.functional.silu(input)\n ^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_184", + "op": "aten.linear.default", + "args": [ + { + "tensor": "type_as_59" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_up_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_325", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "silu_59" + }, + { + "tensor": "linear_184" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_185", + "op": "aten.linear.default", + "args": [ + { + "tensor": "mul_325" + }, + { + "tensor": "p_model_model_language_model_layers_23_mlp_down_proj_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 793, in forward\n hidden_states = self.mlp(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 719, in forward\n down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_257", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "add_254" + }, + { + "tensor": "linear_185" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1206, in forward\n hidden_states = decoder_layer(\n ^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/modeling_layers.py\", line 114, in __call__\n return super().__call__(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 794, in forward\n hidden_states = residual + hidden_states\n ^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "pow_79", + "op": "aten.pow.Tensor_Scalar", + "args": [ + { + "tensor": "add_257" + }, + 2 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mean_78", + "op": "aten.mean.dim", + "args": [ + { + "tensor": "pow_79" + }, + [ + -1 + ], + true + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_258", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "mean_78" + }, + 1e-06 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "rsqrt_114", + "op": "aten.rsqrt.default", + "args": [ + { + "tensor": "add_258" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_326", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "add_257" + }, + { + "tensor": "rsqrt_114" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 733, in forward\n output = self._norm(x.float())\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 730, in _norm\n return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "add_259", + "op": "aten.add.Tensor", + "args": [ + { + "tensor": "p_model_model_language_model_norm_weight" + }, + 1.0 + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "mul_327", + "op": "aten.mul.Tensor", + "args": [ + { + "tensor": "mul_326" + }, + { + "tensor": "add_259" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 736, in forward\n output = output * (1.0 + self.weight.float())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "type_as_60", + "op": "aten.type_as.default", + "args": [ + { + "tensor": "mul_327" + }, + { + "tensor": "add_257" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1769, in forward\n outputs = self.model(\n ^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1562, in forward\n outputs = self.language_model(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 1068, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/output_capturing.py\", line 262, in wrapper\n outputs = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1216, in forward\n hidden_states = self.norm(hidden_states)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 737, in forward\n return output.type_as(x)\n ^^^^^^^^^^^^^^^^^" + }, + { + "id": "alias", + "op": "aten.alias.default", + "args": [ + { + "tensor": "type_as_60" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1787, in forward\n logits = self.lm_head(hidden_states[:, slice_indices, :])\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + }, + { + "id": "linear_186", + "op": "aten.linear.default", + "args": [ + { + "tensor": "alias" + }, + { + "tensor": "p_model_model_language_model_embed_tokens_weight" + } + ], + "kwargs": {}, + "source": "File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/torch/_dynamo/functional_export.py\", line 243, in forward\n res = self._export_root(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 178, in forward\n return super().forward(input_ids, position_ids, attention_mask, image_embedding, is_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/python/webtorch/adapters/qwen35.py\", line 149, in forward\n output = self.model(inputs_embeds=embedding, position_ids=position_ids,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/utils/generic.py\", line 939, in wrapper\n output = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/reserve/Workspace/webtorch/.venv/lib/python3.11/site-packages/transformers/models/qwen3_5/modeling_qwen3_5.py\", line 1787, in forward\n logits = self.lm_head(hidden_states[:, slice_indices, :])\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" + } + ], + "quantization": [], + "states": [ + { + "input": "states_0", + "output": "slice_10", + "kind": "convolution" + }, 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0000000000000000000000000000000000000000..3685c38c999329a75de1b14ae10134b4a83b8ff8 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0151a813c4a92adeb44f0e3b6108c77b29804118b588c9025805f724fce839b4.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 128u; + if (row >= 128u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 256u; j++) { + let v = f32(b0[row * 256u + j]); + total += v * v; + } + factor = inverseSqrt(total / 256.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 256u; p += 64u) { + let i = row * 256u + p; + out[i] = f32(f32(b0[row * 256u + p]) * factor * (f32(b1[p]) + 1.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0169dcad370f1e983364b323dfec0c2afbd1857634efb0200e22ccc6b558d57e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0169dcad370f1e983364b323dfec0c2afbd1857634efb0200e22ccc6b558d57e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..e029a957ac6f8642d87eaf31b86149bef0358f63 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0169dcad370f1e983364b323dfec0c2afbd1857634efb0200e22ccc6b558d57e.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(select(f32(b0[i]), f32(b1[i]), f32(b2[((i / 2048u) % 16u) * 1u]) != 0.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0337d8a473b6e485bd383533df7d373dbbfe7a5f3a982424004560b7213fbaa3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0337d8a473b6e485bd383533df7d373dbbfe7a5f3a982424004560b7213fbaa3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c50a7f2acd01b33468240fbe94eab2c802c81995 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0337d8a473b6e485bd383533df7d373dbbfe7a5f3a982424004560b7213fbaa3.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4096u; +if (i >= 4096u) { return; } +let coord = (i / 1u) % 64u; +if (coord >= 0u && coord < 32u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32u && coord < 64u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 32u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/04f26661cc9ac73bb7f39f66b76c4be31ee8774e094eeb41ed7d677e1b1d3fa9.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/04f26661cc9ac73bb7f39f66b76c4be31ee8774e094eeb41ed7d677e1b1d3fa9.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..67133bd5fb075efe996a921acde0d02717ffa6f3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/04f26661cc9ac73bb7f39f66b76c4be31ee8774e094eeb41ed7d677e1b1d3fa9.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 10u) { return; } +out[i] = f32(b0[((i / 10u) % 1u) * 32u + ((i / 10u) % 1u) * 32u + (((i / 1u) % 10u) * 3u + 2u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/04f5cb70141e507d48bd44a76bfdf264a404a706e8a012502dce5a22ee75bab0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/04f5cb70141e507d48bd44a76bfdf264a404a706e8a012502dce5a22ee75bab0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2c6541fe94d64690204bfe16ca3317d9d1fb5108 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/04f5cb70141e507d48bd44a76bfdf264a404a706e8a012502dce5a22ee75bab0.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 24576u; +if (i >= 24576u) { return; } +out[i] = f32(b0[((i / 24576u) % 1u) * 24576u + ((i / 4u) % 6144u) * 1u + ((i / 1u) % 4u) * 6144u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0554a443ecf6ead32fd2d58178b9ce3c592c89a09b3f63fa509ee947323bb497.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0554a443ecf6ead32fd2d58178b9ce3c592c89a09b3f63fa509ee947323bb497.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..586ebe23e7ab6f7d0ea3d4db2ae21148fc2ede1a --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0554a443ecf6ead32fd2d58178b9ce3c592c89a09b3f63fa509ee947323bb497.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 128u) { return; } +out[i] = f32(b0[((i / 128u) % 1u) * 512u + ((i / 64u) % 2u) * 256u + ((i / 64u) % 1u) * 256u + (((i / 1u) % 64u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/06eecde176beab9ff488ad533f2f4513e09bc49a30c4358f9648076f619f9992.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/06eecde176beab9ff488ad533f2f4513e09bc49a30c4358f9648076f619f9992.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ee8c8a4cc0cdaea931261f0dc33dc98926ba77b5 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/06eecde176beab9ff488ad533f2f4513e09bc49a30c4358f9648076f619f9992.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 6144u; +if (i >= 6144u) { return; } +out[i] = f32(b0[((i / 2048u) % 3u) * 2048u + ((i / 2048u) % 1u) * 2048u + ((i / 64u) % 32u) * 1u + ((i / 1u) % 64u) * 32u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0725908abf78c022f86deb338a06779f6f1346ebfe54ff5a43ee6b9eeb93c972.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0725908abf78c022f86deb338a06779f6f1346ebfe54ff5a43ee6b9eeb93c972.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..71b292e22afb334a345d95567bc425387a266f55 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0725908abf78c022f86deb338a06779f6f1346ebfe54ff5a43ee6b9eeb93c972.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 44u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/07cfabe2e2c2feff22a06c8296600e5ca21efb7444419f0a05e5ff6f48e0292d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/07cfabe2e2c2feff22a06c8296600e5ca21efb7444419f0a05e5ff6f48e0292d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..aae8351dd54da00a71ffebf7e3c9ee6e67fcbfde --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/07cfabe2e2c2feff22a06c8296600e5ca21efb7444419f0a05e5ff6f48e0292d.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +let x = f32(b0[i]); +out[i] = f32(-x); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0835fa80eaadb7c0e6d677e1fc622ad5dcedabb431e5d312f3b7aeb2252a7c7c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0835fa80eaadb7c0e6d677e1fc622ad5dcedabb431e5d312f3b7aeb2252a7c7c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..91f740aa7006d14dca451533719861c5823ff016 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0835fa80eaadb7c0e6d677e1fc622ad5dcedabb431e5d312f3b7aeb2252a7c7c.wgsl @@ -0,0 +1,8 @@ +@group(0) @binding(0) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(0.0); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/08390b1553d11820d1d96b10add657b92acb8d26cd9f11acab8f16777ecfc10a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/08390b1553d11820d1d96b10add657b92acb8d26cd9f11acab8f16777ecfc10a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..d671cc16305ddbecbb23cd39809cff43b1852827 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/08390b1553d11820d1d96b10add657b92acb8d26cd9f11acab8f16777ecfc10a.wgsl @@ -0,0 +1,21 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 436224u; +if (i >= 436224u) { return; } +let batch = i / 436224u; +let channel = (i / 71u) % 6144u; +let group = channel / 1u; +var acc = 0.0; +for (var c = 0u; c < 1u; c++) { + for (var p = 0u; p < 4u; p++) { + let pos0 = i32((i / 1u) % 71u) * 1 + i32((p / 1u) % 4u) * 1 - 3; + if (pos0 >= 0 && pos0 < 68) { acc += f32(b0[batch * 417792u + (group * 1u + c) * 68u + u32(pos0) * 1u]) * f32(b1[(channel * 1u + c) * 4u + p]); } + } +} +out[i] = f32(acc + 0.0); + +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/087fe4a47ab2de93b999a0e519015c12450bf97fb81683d317c894b2bd555169.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/087fe4a47ab2de93b999a0e519015c12450bf97fb81683d317c894b2bd555169.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c5d941a0024ec81692392a38547cae7d0c7adf89 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/087fe4a47ab2de93b999a0e519015c12450bf97fb81683d317c894b2bd555169.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 993280u; +if (i >= 993280u) { return; } +let coord = (i / 1u) % 248320u; +if (coord >= 0u && coord < 229376u) { out[i] = f32(b0[(i / 248320u) * 229376u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 229376u && coord < 248320u) { out[i] = f32(b1[(i / 248320u) * 18944u + (coord - 229376u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/09ea34c2533b929bd309e2bcbcf6d27fa02c731d82276ba6425db85961ea121b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/09ea34c2533b929bd309e2bcbcf6d27fa02c731d82276ba6425db85961ea121b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..49a08ac343cccf84ad9ff97c0e9afb2e3f61c0a4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/09ea34c2533b929bd309e2bcbcf6d27fa02c731d82276ba6425db85961ea121b.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +let x = f32(b0[i]); +out[i] = f32(inverseSqrt(x)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0b8815b1efe176d55ab08530c0a9e1913cf6c9ef3e773c574843573d237cf196.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0b8815b1efe176d55ab08530c0a9e1913cf6c9ef3e773c574843573d237cf196.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..686ab91f45e66184b49d0f2e7429a2171e634bad --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0b8815b1efe176d55ab08530c0a9e1913cf6c9ef3e773c574843573d237cf196.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +let x = f32(b0[i]); +out[i] = f32(sin(x)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0bbd6a5e356c1205a61dc3580a3ff68d88b98a952a5692d66b56ded171d9fc56.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0bbd6a5e356c1205a61dc3580a3ff68d88b98a952a5692d66b56ded171d9fc56.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..54d385f25c67cd568fe09262762d9a1904e683d6 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0bbd6a5e356c1205a61dc3580a3ff68d88b98a952a5692d66b56ded171d9fc56.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +out[i] = f32(f32(b0[i]) + (1e-06 * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0d1edb63bf4dc212d55f8a4c79a50e04c0d822bd9f6e193003e2071ba0d57d69.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0d1edb63bf4dc212d55f8a4c79a50e04c0d822bd9f6e193003e2071ba0d57d69.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..29b5fc50bb132d2ebad8fbc34a147c39968c70ec --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0d1edb63bf4dc212d55f8a4c79a50e04c0d822bd9f6e193003e2071ba0d57d69.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(b0[((i / 8192u) % 1u) * 16384u + ((i / 2048u) % 4u) * 4096u + ((i / 256u) % 8u) * 512u + (((i / 1u) % 256u) * 1u + 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0d3892883d1532d173a7dbe85d9ab1daa87f0d9b4923a535b8d2003f24f9500c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0d3892883d1532d173a7dbe85d9ab1daa87f0d9b4923a535b8d2003f24f9500c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8520366c6db35027de02453b6c726e0fc678ab4f --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0d3892883d1532d173a7dbe85d9ab1daa87f0d9b4923a535b8d2003f24f9500c.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +let coord = (i / 1u) % 64u; +if (coord >= 0u && coord < 32u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32u && coord < 64u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 32u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0e5e44ae1adc5e11bf41b230e4ab1f93b5c0bd79b4f4e28e205d02cae01cebd0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0e5e44ae1adc5e11bf41b230e4ab1f93b5c0bd79b4f4e28e205d02cae01cebd0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3de8608f7a5283c1ccb45de6ed56bf18870523a3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0e5e44ae1adc5e11bf41b230e4ab1f93b5c0bd79b4f4e28e205d02cae01cebd0.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 196608 || token >= 229376) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 196608) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0f943f386d2f37a8e56b4285b26e1c093c2f2fa2a5ce81cc43c44cc9bb0137f5.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0f943f386d2f37a8e56b4285b26e1c093c2f2fa2a5ce81cc43c44cc9bb0137f5.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..15c550b1f32e4f6bb9a861ae384749b50592bd5d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0f943f386d2f37a8e56b4285b26e1c093c2f2fa2a5ce81cc43c44cc9bb0137f5.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 384u; +if (i >= 384u) { return; } +out[i] = f32(b0[((i / 128u) % 3u) * 128u + ((i / 128u) % 1u) * 128u + ((i / 32u) % 4u) * 1u + ((i / 1u) % 32u) * 4u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0fa78dd7a41f9816e0a051fa3076f0ee2d258ff73d4e66a1360a492cb2e924d6.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0fa78dd7a41f9816e0a051fa3076f0ee2d258ff73d4e66a1360a492cb2e924d6.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5266b75614dc4adcdf1054f95d634f27f555bf5e --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0fa78dd7a41f9816e0a051fa3076f0ee2d258ff73d4e66a1360a492cb2e924d6.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 163840 || token >= 196608) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 163840) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0fbc9484ef8ca703ced4ffd123f1ae733c44556b6cb160ee803b820ff5ec867d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0fbc9484ef8ca703ced4ffd123f1ae733c44556b6cb160ee803b820ff5ec867d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..43d5bb662e9175428e6b81bc2f0e2980727497a7 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/0fbc9484ef8ca703ced4ffd123f1ae733c44556b6cb160ee803b820ff5ec867d.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 64u) % 16u) * 64u + ((i / 1u) % 64u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/100cfb630383828acba947e4a98fa4a47e8173e7ca32a62325780b90606093bf.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/100cfb630383828acba947e4a98fa4a47e8173e7ca32a62325780b90606093bf.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..e3642bd973561dea347a535f00a328f5dae3e1ab --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/100cfb630383828acba947e4a98fa4a47e8173e7ca32a62325780b90606093bf.wgsl @@ -0,0 +1,25 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var partial: array; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let i = group.x + group.y * 4096u; + if (i >= 4096u) { return; } + let lane = local.x; + var acc = 0.0; + for (var p = lane; p < 2048u; p += 64u) { acc += f32(b0[(i / 4096u) * 2048u + p]) * unpack_bf16_1((i % 4096u) * 2048u + p); } + partial[lane] = acc; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + if (lane == 0u) { out[i] = f32(partial[0] + 0.0); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/11a92e9cba6bfc381c98c5127db137639d6c87f1cb220459880ead039dc81256.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/11a92e9cba6bfc381c98c5127db137639d6c87f1cb220459880ead039dc81256.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..34af207bc7ce034721ed448af19bbd095c4bdb49 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/11a92e9cba6bfc381c98c5127db137639d6c87f1cb220459880ead039dc81256.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 12u) { return; } +out[i] = i32(b0[(((i / 4u) % 3u) * 1u + 1u) * 4u + ((i / 4u) % 1u) * 4u + ((i / 1u) % 4u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/121285fc94b4a9f873c60a1d6e0de9d764286607718405fd18288e7ff419c483.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/121285fc94b4a9f873c60a1d6e0de9d764286607718405fd18288e7ff419c483.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..fe72b9bbe1c94bc7406073ad754fa678e850e59d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/121285fc94b4a9f873c60a1d6e0de9d764286607718405fd18288e7ff419c483.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +let x = f32(b0[i]); +if (x * 1.0 > 20.0) { out[i] = f32(x); return; } +out[i] = f32(log(1.0 + exp(x * 1.0)) / 1.0); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1255847146b31732939e573cdb26c483358c1ce07f987bd8c3d3d69ae8c7e141.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1255847146b31732939e573cdb26c483358c1ce07f987bd8c3d3d69ae8c7e141.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..19ce143a6079d1d8518ef9ca512fcc3cdfe1205c --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1255847146b31732939e573cdb26c483358c1ce07f987bd8c3d3d69ae8c7e141.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 24576u; +if (i >= 24576u) { return; } +out[i] = f32(b0[((i / 24576u) % 1u) * 30720u + ((i / 4u) % 6144u) * 5u + (((i / 1u) % 4u) * 1u + 1u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/13237b557466d2fef5bfbc74e7ac77219b9821a53bc0843dbb5d14db8b04d414.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/13237b557466d2fef5bfbc74e7ac77219b9821a53bc0843dbb5d14db8b04d414.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b455658f02601c7cfd2493171e0ae0ce54e635a5 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/13237b557466d2fef5bfbc74e7ac77219b9821a53bc0843dbb5d14db8b04d414.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(f32(b0[i]) * f32(b0[i])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1326034f3abab37629cd88f869d1b0bafcde724f85c07904b54feaaf71d89c62.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1326034f3abab37629cd88f869d1b0bafcde724f85c07904b54feaaf71d89c62.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..4977dd26d91c116b0df884dba3354bba5ff74661 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1326034f3abab37629cd88f869d1b0bafcde724f85c07904b54feaaf71d89c62.wgsl @@ -0,0 +1,44 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var b3: array; +@group(0) @binding(4) var b4: array; +@group(0) @binding(5) var b5: array; +@group(0) @binding(6) var out: array; + +var partial: array; +var delta: f32; +@compute @workgroup_size(128) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let column = group.x; + let head = group.y; + let batch_index = group.z; + let lane = local.x; + var recurrent = 0.0; + if (lane < 128u) { recurrent = f32(b5[((batch_index * 16u + head) * 128u + lane) * 128u + column]); } + for (var token = 0u; token < 4u; token++) { + recurrent *= exp(f32(b3[(batch_index * 4u + token) * 16u + head])); + partial[lane] = 0.0; + if (lane < 128u) { partial[lane] = recurrent * f32(b1[((batch_index * 4u + token) * 16u + head) * 128u + lane]); } + workgroupBarrier(); + for (var stride = 64u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + if (lane == 0u) { delta = (f32(b2[((batch_index * 4u + token) * 16u + head) * 128u + column]) - partial[0]) * f32(b4[(batch_index * 4u + token) * 16u + head]); } + workgroupBarrier(); + if (lane < 128u) { recurrent += f32(b1[((batch_index * 4u + token) * 16u + head) * 128u + lane]) * delta; } + partial[lane] = 0.0; + if (lane < 128u) { + partial[lane] = recurrent * f32(b0[((batch_index * 4u + token) * 16u + head) * 128u + lane]) * 0.08838834764831845; + } + workgroupBarrier(); + for (var stride = 64u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + if (lane == 0u) { out[((batch_index * 16u + head) * 132u + 128u + token) * 128u + column] = f32(partial[0]); } + workgroupBarrier(); + } + if (lane < 128u) { out[((batch_index * 16u + head) * 132u + lane) * 128u + column] = f32(recurrent); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/13dc73935b9b3b978232043e13babee3877bd53ca572be440de0590dacce8b17.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/13dc73935b9b3b978232043e13babee3877bd53ca572be440de0590dacce8b17.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..de89efb15b0a288331488e51bd02760c3dded87f --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/13dc73935b9b3b978232043e13babee3877bd53ca572be440de0590dacce8b17.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 32u) { return; } +out[i] = f32(b0[0u * 32u + ((i / 32u) % 1u) * 32u + ((i / 32u) % 1u) * 32u + ((i / 1u) % 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/140ebe12d31f1420a8a159b91ae1773390190f496e06e0e5d7b5351f38245068.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/140ebe12d31f1420a8a159b91ae1773390190f496e06e0e5d7b5351f38245068.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b250108bae6829446bb3477c6769fabbd9aff004 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/140ebe12d31f1420a8a159b91ae1773390190f496e06e0e5d7b5351f38245068.wgsl @@ -0,0 +1,96 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var b3: array; +@group(0) @binding(4) var out: array; + +var q_row: array; +var scores: array; +var partial: array; +var limit_shared: u32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.x; + let head = group.x / 64u; + let row = group.x % 64u; + let kv_head = head / 4u; + for (var d = lane; d < 256u; d += 64u) { q_row[d] = f32(b0[(head * 64u + row) * 256u + d]); } + // Bound the key loop by the last unmasked position so work follows the used context. + var last = 0.0; + for (var j = lane; j < 4096u; j += 64u) { + if (f32(b3[row * 4096u + j]) > -1000.0) { last = max(last, f32(j + 1u)); } + } + partial[lane] = last; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] = max(partial[lane], partial[lane + stride]); } + workgroupBarrier(); + } + if (lane == 0u) { limit_shared = u32(partial[0]); } + let limit = workgroupUniformLoad(&limit_shared); + var running_max = -3.4028234663852886e38; + var running_sum = 0.0; + var acc: array; + for (var start = 0u; start < limit; start += 1024u) { + let count = min(1024u, limit - start); + var tile_max = -3.4028234663852886e38; + for (var t = lane; t < count; t += 64u) { + let j = start + t; + var score = -3.4028234663852886e38; + if (f32(b3[row * 4096u + j]) > -1000.0) { + var dot = 0.0; + for (var d = 0u; d < 256u; d++) { dot += q_row[d] * f32(b1[(((kv_head * 4096u + j) * 256u + d) / 256u) % 4096u * 512u + (((kv_head * 4096u + j) * 256u + d) / 1048576u) % 2u * 256u + (((kv_head * 4096u + j) * 256u + d) / 1u) % 256u * 1u]); } + score = dot * 0.0625 + f32(b3[row * 4096u + j]); + } + scores[t] = score; + tile_max = max(tile_max, score); + } + partial[lane] = tile_max; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] = max(partial[lane], partial[lane + stride]); } + workgroupBarrier(); + } + let next_max = max(running_max, partial[0]); + workgroupBarrier(); + var tile_sum = 0.0; + for (var t = lane; t < count; t += 64u) { + var p = 0.0; + if (scores[t] > -3.0e38) { p = exp(scores[t] - next_max); } + scores[t] = p; + tile_sum += p; + } + partial[lane] = tile_sum; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + var correction = 0.0; + if (running_max > -3.0e38) { correction = exp(running_max - next_max); } + running_sum = running_sum * correction + partial[0]; + running_max = next_max; + for (var c = 0u; c < 4u; c++) { + let d = lane + c * 64u; + var total = acc[c] * correction; + if (d < 256u) { + for (var t = 0u; t < count; t++) { + let p = scores[t]; + if (p != 0.0) { + let j = start + t; + total += p * f32(b2[(((kv_head * 4096u + j) * 256u + d) / 256u) % 4096u * 512u + (((kv_head * 4096u + j) * 256u + d) / 1048576u) % 2u * 256u + (((kv_head * 4096u + j) * 256u + d) / 1u) % 256u * 1u]); + } + } + } + acc[c] = total; + } + workgroupBarrier(); + } + for (var c = 0u; c < 4u; c++) { + let d = lane + c * 64u; + if (d < 256u) { + let i = (head * 64u + row) * 256u + d; + out[i] = f32(acc[c] / running_sum); + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1545025e0a625ccc73b42ae112c6f9d78a1504c10b759979ae2247984f25f056.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1545025e0a625ccc73b42ae112c6f9d78a1504c10b759979ae2247984f25f056.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..94be53f6bd2811f15de48160517e54acd7fde791 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1545025e0a625ccc73b42ae112c6f9d78a1504c10b759979ae2247984f25f056.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 128u) { return; } +let coord = (i / 1u) % 32u; +if (coord >= 1u && coord < 34u && (coord - 1u) % 3u == 0u) { out[i] = f32(b0[((i / 128u) % 1u) * 44u + ((i / 32u) % 4u) * 11u + ((((i / 1u) % 32u) - 1u) / 3u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/17b972f97cc2659712ca7c658cd186e851a248115f83a893a8a11f34b441367e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/17b972f97cc2659712ca7c658cd186e851a248115f83a893a8a11f34b441367e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..33a0f5c4f085cfd587f2df5a30d6a9ec79e95d0e --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/17b972f97cc2659712ca7c658cd186e851a248115f83a893a8a11f34b441367e.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 32768 || token >= 65536) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 32768) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/17ec6bdaf98edf7657b74a25036c2bec806ecbb4280f33fff6afd2e0de5ed377.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/17ec6bdaf98edf7657b74a25036c2bec806ecbb4280f33fff6afd2e0de5ed377.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..f8b87c0bd2b9575bbbc8395e5d566f057aeb69dd --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/17ec6bdaf98edf7657b74a25036c2bec806ecbb4280f33fff6afd2e0de5ed377.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(f32(b0[i]) * 0.08838834764831843); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/18a0b02a12ebf73203283d267342582d54ba411aeee9cbe21ad89ae890e4cfea.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/18a0b02a12ebf73203283d267342582d54ba411aeee9cbe21ad89ae890e4cfea.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..4446cdc4e73df59c1bfe3b5230a9d873261c1cd9 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/18a0b02a12ebf73203283d267342582d54ba411aeee9cbe21ad89ae890e4cfea.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(b0[((i / 8192u) % 1u) * 8192u + ((i / 1024u) % 8u) * 256u + ((i / 256u) % 4u) * 2048u + ((i / 1u) % 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/18b1cef2bae996f56664d9215180e3bfc77b4e514db52fdf9b6c58be51b53edb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/18b1cef2bae996f56664d9215180e3bfc77b4e514db52fdf9b6c58be51b53edb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..460942834da66dc168f11860dfbd38c9cd069806 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/18b1cef2bae996f56664d9215180e3bfc77b4e514db52fdf9b6c58be51b53edb.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 44u) { return; } +out[i] = f32(b0[((i / 44u) % 1u) * 128u + ((i / 11u) % 4u) * 32u + (((i / 1u) % 11u) * 3u + 1u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/19564c145248f065669be23f5daeeda96e025ee4389bef80983001e83fddb31d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/19564c145248f065669be23f5daeeda96e025ee4389bef80983001e83fddb31d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..41fd5a021bacdb59aa4b8e651a7ca5fc0a5156ce --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/19564c145248f065669be23f5daeeda96e025ee4389bef80983001e83fddb31d.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 64u) { return; } +let x = f32(b0[i]); +if (x * 1.0 > 20.0) { out[i] = f32(x); return; } +out[i] = f32(log(1.0 + exp(x * 1.0)) / 1.0); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/19ed0cd9af407327fd0ed5dc99a7ed397076a54b48372a8f2156bbef0c27b4bb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/19ed0cd9af407327fd0ed5dc99a7ed397076a54b48372a8f2156bbef0c27b4bb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..e255f4b5fcce45cc8407ae01029ee36e9129837b --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/19ed0cd9af407327fd0ed5dc99a7ed397076a54b48372a8f2156bbef0c27b4bb.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 4u && col < 2048u) { value = f32(f32(b0[(batch * 4u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 6144u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 4u && out_col < 6144u) { + let i = (batch * 4u + out_row) * 6144u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1a73b6fceda28f40bba4ae27a986ffa39842db94fa5903ea5bf689a7e854d4f3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1a73b6fceda28f40bba4ae27a986ffa39842db94fa5903ea5bf689a7e854d4f3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..e2608a38a4a14347c0dd37068bb5040f9280ed0d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1a73b6fceda28f40bba4ae27a986ffa39842db94fa5903ea5bf689a7e854d4f3.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +let coord = (i / 1u) % 64u; +if (coord >= 0u && coord < 32u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32u && coord < 64u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 32u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1ad205080cae29142a3ad87343a0cf3ac4945455398293946110d421ce6d515e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1ad205080cae29142a3ad87343a0cf3ac4945455398293946110d421ce6d515e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..04dc360880644481a17005996f0dece2fe491df3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1ad205080cae29142a3ad87343a0cf3ac4945455398293946110d421ce6d515e.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 128u) { return; } +out[i] = f32(f32(b0[i]) + (f32(b1[i]) * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1b9f4e330debc7235cfaf8f51d00fec575e09aa6116a45ea001e10ff5f09eb8c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1b9f4e330debc7235cfaf8f51d00fec575e09aa6116a45ea001e10ff5f09eb8c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..34861471bb74f5ed088ecba3565e1ccc71cad68f --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1b9f4e330debc7235cfaf8f51d00fec575e09aa6116a45ea001e10ff5f09eb8c.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1536u; +if (i >= 1536u) { return; } +let batch = i / 512u; +let row = (i / 16u) % 32u; +let col = i % 16u; +var acc = 0.0; +for (var p = 0u; p < 1u; p++) { + acc += f32(b0[(((batch / 1u) % 3u) * 32u) + row * 1u + p]) * f32(b1[(((batch / 1u) % 3u) * 16u) + p * 16u + col]); +} +out[i] = f32(acc); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1d0cbb068fe17123e646934bfa1259f19e5db04e45d72a157d3ea4fa48c81aa0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1d0cbb068fe17123e646934bfa1259f19e5db04e45d72a157d3ea4fa48c81aa0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0c5bc84965c97bab5f1221cde0dd272918f11497 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1d0cbb068fe17123e646934bfa1259f19e5db04e45d72a157d3ea4fa48c81aa0.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(b0[((i / 131072u) % 1u) * 131072u + ((i / 16384u) % 8u) * 256u + ((i / 256u) % 64u) * 2048u + ((i / 1u) % 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1ea73621b5acbcc2acfe99cb1cefae97247ee2c199f0b0a8574815ea776ca3bb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1ea73621b5acbcc2acfe99cb1cefae97247ee2c199f0b0a8574815ea776ca3bb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ba6aa45f32cb5f338b11181ce9264860b26e3463 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1ea73621b5acbcc2acfe99cb1cefae97247ee2c199f0b0a8574815ea776ca3bb.wgsl @@ -0,0 +1,21 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 141312u; +if (i >= 141312u) { return; } +let batch = i / 141312u; +let channel = (i / 23u) % 6144u; +let group = channel / 1u; +var acc = 0.0; +for (var c = 0u; c < 1u; c++) { + for (var p = 0u; p < 4u; p++) { + let pos0 = i32((i / 1u) % 23u) * 1 + i32((p / 1u) % 4u) * 1 - 3; + if (pos0 >= 0 && pos0 < 20) { acc += f32(b0[batch * 122880u + (group * 1u + c) * 20u + u32(pos0) * 1u]) * f32(b1[(channel * 1u + c) * 4u + p]); } + } +} +out[i] = f32(acc + 0.0); + +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1f787ac473f45f5a93e370b21ce760fbff079794d5a2cdb6c017c3180897c9df.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1f787ac473f45f5a93e370b21ce760fbff079794d5a2cdb6c017c3180897c9df.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a47697a3226f66d9f5135fde0a8742e86213fc11 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/1f787ac473f45f5a93e370b21ce760fbff079794d5a2cdb6c017c3180897c9df.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 64>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 64u; + var acc: array, 4>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 4u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 64u && col < 2048u) { value = f32(f32(b0[(batch * 64u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 18944u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 4u; r++) { + let a_value = tile_a[local.y * 4u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 4u; r++) { + let out_row = tile_row + local.y * 4u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 64u && out_col < 18944u) { + let i = (batch * 64u + out_row) * 18944u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/20a4dee9cf34730b4ad77bde7921c189235c4da7d54a3dfb0d589f4d5275c755.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/20a4dee9cf34730b4ad77bde7921c189235c4da7d54a3dfb0d589f4d5275c755.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..1597f56a28fb2451f63cf7ddb5821f4054a6a2ac --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/20a4dee9cf34730b4ad77bde7921c189235c4da7d54a3dfb0d589f4d5275c755.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(b0[((i / 8192u) % 1u) * 24576u + ((i / 2048u) % 4u) * 6144u + (((i / 1u) % 2048u) * 1u + 4096u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/20fb9e0d0bd2aab34b7f69eac259898e68cac4a0d6b0bda5e95c9126a660336d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/20fb9e0d0bd2aab34b7f69eac259898e68cac4a0d6b0bda5e95c9126a660336d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5dc4ef605d0aeb8c1e6544aebe9f0ade791f4095 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/20fb9e0d0bd2aab34b7f69eac259898e68cac4a0d6b0bda5e95c9126a660336d.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 64u) { return; } +out[i] = f32(b0[((i / 64u) % 1u) * 128u + ((i / 32u) % 2u) * 64u + ((i / 32u) % 1u) * 64u + (((i / 1u) % 32u) * 1u + 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2182574f59b7d9e38d74b30540c5781827e7da2de1ba6b00327af0b4cb42379d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2182574f59b7d9e38d74b30540c5781827e7da2de1ba6b00327af0b4cb42379d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a10282b1a7089bcbf3fc3c13bf9435b3d210d5c4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2182574f59b7d9e38d74b30540c5781827e7da2de1ba6b00327af0b4cb42379d.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 6144u; +if (i >= 6144u) { return; } +out[i] = f32(b0[((i / 6144u) % 1u) * 8192u + ((i / 3072u) % 2u) * 4096u + ((i / 192u) % 16u) * 256u + (((i / 1u) % 192u) * 1u + 64u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/222a2645e3e02d0a4063a63ca1b6fa4c89faee6b76905b20de4dd54ab3077ea3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/222a2645e3e02d0a4063a63ca1b6fa4c89faee6b76905b20de4dd54ab3077ea3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..1447aa7dfa8f3765ba1ecc1e492c6fce42213779 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/222a2645e3e02d0a4063a63ca1b6fa4c89faee6b76905b20de4dd54ab3077ea3.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 3u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/237458dff084b2aa9ccba5578da3b2a0b062951575364d1464250baca3fdac5a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/237458dff084b2aa9ccba5578da3b2a0b062951575364d1464250baca3fdac5a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3518ecf411c702ffbcb35673540ae16994c0490c --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/237458dff084b2aa9ccba5578da3b2a0b062951575364d1464250baca3fdac5a.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(f32(b0[i]) * f32(b0[i])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/242b7d51c19c9857a096c2ae1f7b72ebd410100a1542c51390950adbb8aed35c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/242b7d51c19c9857a096c2ae1f7b72ebd410100a1542c51390950adbb8aed35c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..857bfbcb3d394a715e3ca420ff22fbda606d0fb2 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/242b7d51c19c9857a096c2ae1f7b72ebd410100a1542c51390950adbb8aed35c.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 32768 || token >= 65536) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 32768) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/246ea07912fcd8a9073926e863141111eb4091b52cc980a6eef148beed122fc4.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/246ea07912fcd8a9073926e863141111eb4091b52cc980a6eef148beed122fc4.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8956f47ecd984bb7348dc4845cd50216c449dbec --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/246ea07912fcd8a9073926e863141111eb4091b52cc980a6eef148beed122fc4.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 32u; + if (row >= 32u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 256u; j++) { + let v = f32(b0[row * 256u + j]); + total += v * v; + } + factor = inverseSqrt(total / 256.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 256u; p += 64u) { + let i = row * 256u + p; + out[i] = f32(f32(b0[row * 256u + p]) * factor * (f32(b1[p]) + 1.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2505a613f10a5ed1c70a3f80a16dd566da65caa2d7d85083e23f85a30844d63e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2505a613f10a5ed1c70a3f80a16dd566da65caa2d7d85083e23f85a30844d63e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..d9228ba10d283d2d3e7aa450cc7a1a2ae7a1fca7 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2505a613f10a5ed1c70a3f80a16dd566da65caa2d7d85083e23f85a30844d63e.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 98304u; +if (i >= 98304u) { return; } +let x = f32(b0[i]); let s = f32(f32(x / (1.0 + exp(-x)))); +out[i] = f32(s * f32(b1[i])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/26cf6eb3b486d1652247ff130b05ed0e8c8560028eeba59acfc075b976bfdfce.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/26cf6eb3b486d1652247ff130b05ed0e8c8560028eeba59acfc075b976bfdfce.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..7018b9532a9e500c3ab541a52cb08ceeedd4810f --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/26cf6eb3b486d1652247ff130b05ed0e8c8560028eeba59acfc075b976bfdfce.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 30720u; +if (i >= 30720u) { return; } +let coord = (i / 1u) % 5u; +if (coord >= 0u && coord < 4u) { out[i] = f32(b0[(i / 5u) * 4u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 4u && coord < 5u) { out[i] = f32(b1[(i / 5u) * 1u + (coord - 4u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2792ae5841828bd5af938c10096abe385e63bb3ec2a22e850f146739433c12bf.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2792ae5841828bd5af938c10096abe385e63bb3ec2a22e850f146739433c12bf.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0f3bd77e9848ac9445e29bd95a2fdf093837ce6d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2792ae5841828bd5af938c10096abe385e63bb3ec2a22e850f146739433c12bf.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(b0[((i / 8192u) % 1u) * 8192u + ((i / 2048u) % 4u) * 256u + ((i / 256u) % 8u) * 1024u + ((i / 1u) % 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/28119aa01122c42bd26ceb37129fe0c95b2a9192163f6dabd90fe058b1e14c54.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/28119aa01122c42bd26ceb37129fe0c95b2a9192163f6dabd90fe058b1e14c54.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..990d32638060f680c62cfdca8e54470607c9e8b0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/28119aa01122c42bd26ceb37129fe0c95b2a9192163f6dabd90fe058b1e14c54.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4096u; +if (i >= 4096u) { return; } +let x = f32(b0[i]); +out[i] = f32(sin(x)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2927b33e105f6ccb9c4352ebdf028ea856d0f47c23a7f6cb140d5acb45356c35.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2927b33e105f6ccb9c4352ebdf028ea856d0f47c23a7f6cb140d5acb45356c35.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..fc2953e69f0e3bd139ea4af74e525ca1dcd69cd4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2927b33e105f6ccb9c4352ebdf028ea856d0f47c23a7f6cb140d5acb45356c35.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 229376 || token >= 248320) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 229376) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2af7517eb26022ada8f8870fd9e1e1ef3da66b9c466336ee18d5295957820b27.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2af7517eb26022ada8f8870fd9e1e1ef3da66b9c466336ee18d5295957820b27.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0f6afccf1386d278d6b3e3a77cb049f5ae6debc3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2af7517eb26022ada8f8870fd9e1e1ef3da66b9c466336ee18d5295957820b27.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 417792u; +if (i >= 417792u) { return; } +out[i] = f32(b0[((i / 417792u) % 1u) * 436224u + ((i / 68u) % 6144u) * 71u + (((i / 1u) % 68u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2b02ece9784fc350cef18e08c962031f74dbc27c7d1cad3a13dda1cebb84b403.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2b02ece9784fc350cef18e08c962031f74dbc27c7d1cad3a13dda1cebb84b403.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..53aab94b2ddcee6268333515fb036e8e56bfb105 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2b02ece9784fc350cef18e08c962031f74dbc27c7d1cad3a13dda1cebb84b403.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 393216u; +if (i >= 393216u) { return; } +let x = f32(b0[i]); let s = f32(f32(x / (1.0 + exp(-x)))); +out[i] = f32(s * f32(b1[i])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2b9e4b05ef5623d721dbe56b5812e551efcc6fd833d81064320e86fe94d8c670.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2b9e4b05ef5623d721dbe56b5812e551efcc6fd833d81064320e86fe94d8c670.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..81712cc83c7e16718c1943957bc24f4abd662317 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2b9e4b05ef5623d721dbe56b5812e551efcc6fd833d81064320e86fe94d8c670.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4096u; +if (i >= 4096u) { return; } +out[i] = f32(f32(b0[i]) * 1.0); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2bdeb3590b1ba05cf6e9c7e8245f8aa552a12dae84f9578c603c9cee081a82d4.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2bdeb3590b1ba05cf6e9c7e8245f8aa552a12dae84f9578c603c9cee081a82d4.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2b4e4e01f4485a846699c215551f49c2f1452a40 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2bdeb3590b1ba05cf6e9c7e8245f8aa552a12dae84f9578c603c9cee081a82d4.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 16u; + if (row >= 16u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 128u; j++) { + let v = f32(b0[row * 128u + j]); + total += v * v; + } + factor = inverseSqrt(total / 128.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 128u; p += 64u) { + let i = row * 128u + p; + out[i] = f32(f32(b0[row * 128u + p]) * factor * (f32(b1[p]) + 0.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c0cca2a7b0198c317e68992e64f3fe9bba80b67204c2695c20c372471c150d3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c0cca2a7b0198c317e68992e64f3fe9bba80b67204c2695c20c372471c150d3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..05c73e3e7e256b462ade35867855db48ad811b19 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c0cca2a7b0198c317e68992e64f3fe9bba80b67204c2695c20c372471c150d3.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 262144u; +if (i >= 262144u) { return; } +out[i] = f32(f32(b0[((i / 16384u) % 16u) * 128u + ((i / 128u) % 128u) * 1u]) * f32(b1[((i / 16384u) % 16u) * 128u + ((i / 1u) % 128u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c66dcac8fdd3caa9ff1e2441524070c21c24df9526bee44c49e765a8d4c8222.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c66dcac8fdd3caa9ff1e2441524070c21c24df9526bee44c49e765a8d4c8222.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..69e4d0a119bf0b802b68acfe45a1cce248ebc3be --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c66dcac8fdd3caa9ff1e2441524070c21c24df9526bee44c49e765a8d4c8222.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 16384u; +if (i >= 16384u) { return; } +out[i] = f32(b0[((i / 16384u) % 1u) * 32768u + ((i / 2048u) % 8u) * 4096u + ((i / 32u) % 64u) * 64u + (((i / 1u) % 32u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c81f71954e9a2503ae8f3d84f319ffe366cdbb428ab45c22bddee91751c035c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c81f71954e9a2503ae8f3d84f319ffe366cdbb428ab45c22bddee91751c035c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..258eb4573fcc53236107af9cec1f070eec95f958 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2c81f71954e9a2503ae8f3d84f319ffe366cdbb428ab45c22bddee91751c035c.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 3973120u; +if (i >= 3973120u) { return; } +let coord = (i / 1u) % 248320u; +if (coord >= 0u && coord < 229376u) { out[i] = f32(b0[(i / 248320u) * 229376u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 229376u && coord < 248320u) { out[i] = f32(b1[(i / 248320u) * 18944u + (coord - 229376u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2cd4a533d32097a17641196f0cd315d170c587bc2b1c62b42b79d566d6fbf140.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2cd4a533d32097a17641196f0cd315d170c587bc2b1c62b42b79d566d6fbf140.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..38310e6def55923b47e15db35ea758fb1a108a62 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2cd4a533d32097a17641196f0cd315d170c587bc2b1c62b42b79d566d6fbf140.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 384u; +if (i >= 384u) { return; } +out[i] = f32(b0[((i / 128u) % 3u) * 128u + ((i / 128u) % 1u) * 128u + ((i / 4u) % 32u) * 1u + ((i / 1u) % 4u) * 32u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2e1ce6ef01198780289fd4a35d8f86b5172595ed189cf931e8444091d49e8d3a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2e1ce6ef01198780289fd4a35d8f86b5172595ed189cf931e8444091d49e8d3a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2269a620c58e84a4903bb1135733ef2385d6af46 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2e1ce6ef01198780289fd4a35d8f86b5172595ed189cf931e8444091d49e8d3a.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 64u) { return; } +out[i] = f32(f32(b0[i]) * 1.0); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2eeb54034621ff097879064a60fd4e0dd5d68201e48296ad234413a39579acc8.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2eeb54034621ff097879064a60fd4e0dd5d68201e48296ad234413a39579acc8.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..1e46eeebccaa9450e6f35a050b1561b7fc75c63e --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/2eeb54034621ff097879064a60fd4e0dd5d68201e48296ad234413a39579acc8.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(b0[((i / 8192u) % 1u) * 16384u + ((i / 2048u) % 4u) * 4096u + ((i / 256u) % 8u) * 512u + (((i / 1u) % 256u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3087f59456d6581e7cdad1a14086af53281e39d2041a6a93387ba6e1daf5f9cb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3087f59456d6581e7cdad1a14086af53281e39d2041a6a93387ba6e1daf5f9cb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..d26f55dc801072951721a041127533286d4ae6fe --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3087f59456d6581e7cdad1a14086af53281e39d2041a6a93387ba6e1daf5f9cb.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 262144u; +if (i >= 262144u) { return; } +out[i] = f32(b0[((i / 262144u) % 1u) * 270336u + ((i / 16384u) % 16u) * 16896u + (((i / 128u) % 128u) * 1u + 0u) * 128u + ((i / 1u) % 128u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/309f1b67894a30dd3e88cd18af63ffc51e384b6891b5f34dd1a0588344188f6e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/309f1b67894a30dd3e88cd18af63ffc51e384b6891b5f34dd1a0588344188f6e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c4df10b818bd3d5917a86f2e8da553827b31704b --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/309f1b67894a30dd3e88cd18af63ffc51e384b6891b5f34dd1a0588344188f6e.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 65536 || token >= 98304) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 65536) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/32a5027cac5dd969d63fe5d5c88d7c87abb600c43ad1d70e1c56615ea781eff3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/32a5027cac5dd969d63fe5d5c88d7c87abb600c43ad1d70e1c56615ea781eff3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..acbc0b91943f7202976d3a0119d1ad2f45215e18 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/32a5027cac5dd969d63fe5d5c88d7c87abb600c43ad1d70e1c56615ea781eff3.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 262144u; +if (i >= 262144u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 16384u) % 16u) * 128u + ((i / 128u) % 128u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/32cb7d055e8ecf035e10d05724e64544393bd3916079992a3d8dce427bb14181.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/32cb7d055e8ecf035e10d05724e64544393bd3916079992a3d8dce427bb14181.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..4858cc129b2de7c67aab0a5337e8050b0a3b193d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/32cb7d055e8ecf035e10d05724e64544393bd3916079992a3d8dce427bb14181.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +var acc = 0.0; +for (var j = 0u; j < 128u; j++) { acc += f32(b0[(((i / 1024u) % 1u) * 131072u + ((i / 16u) % 64u) * 2048u + ((i / 1u) % 16u) * 128u) + (((j / 1u) % 128u) * 1u)]); } +out[i] = f32(acc); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/33e8ec04c66adb4988f562f0f9d3e92d29dfda91a56d0ed62be598c7c737f5ba.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/33e8ec04c66adb4988f562f0f9d3e92d29dfda91a56d0ed62be598c7c737f5ba.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ea57d7db6cc64c5b0d1bd0d43ac21f19e17492ca --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/33e8ec04c66adb4988f562f0f9d3e92d29dfda91a56d0ed62be598c7c737f5ba.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 16384u; +if (i >= 16384u) { return; } +out[i] = f32(b0[((i / 16384u) % 1u) * 32768u + ((i / 2048u) % 8u) * 4096u + ((i / 32u) % 64u) * 64u + (((i / 1u) % 32u) * 1u + 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3560fe2bb07bf6fb92598b9f9c006029892f16dcb55b418973ed89b2b5086b1b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3560fe2bb07bf6fb92598b9f9c006029892f16dcb55b418973ed89b2b5086b1b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..50da14799819aa45e6e395deacf4115e0fef2ab4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3560fe2bb07bf6fb92598b9f9c006029892f16dcb55b418973ed89b2b5086b1b.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(b0[((i / 131072u) % 1u) * 393216u + ((i / 2048u) % 64u) * 6144u + (((i / 1u) % 2048u) * 1u + 4096u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3595b126ffc5f891b35f356c4b465831a5e0dac1f3e2d68bccafd4a8c6e04c6e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3595b126ffc5f891b35f356c4b465831a5e0dac1f3e2d68bccafd4a8c6e04c6e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8581eb73644378084e202f5ae976c33dd457a7b4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3595b126ffc5f891b35f356c4b465831a5e0dac1f3e2d68bccafd4a8c6e04c6e.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 64>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 64u; + var acc: array, 4>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 4u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 64u && col < 2048u) { value = f32(f32(b0[(batch * 64u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 512u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 4u; r++) { + let a_value = tile_a[local.y * 4u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 4u; r++) { + let out_row = tile_row + local.y * 4u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 64u && out_col < 512u) { + let i = (batch * 64u + out_row) * 512u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/359d61f2ba174e54e2a0920fcf61e84e436fd3eaf7e2832e21fdb24094493667.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/359d61f2ba174e54e2a0920fcf61e84e436fd3eaf7e2832e21fdb24094493667.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..385adfb5f3ff92084baf0649aca3a9afbec19314 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/359d61f2ba174e54e2a0920fcf61e84e436fd3eaf7e2832e21fdb24094493667.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 512u; +if (i >= 512u) { return; } +let coord = (i / 1u) % 32u; +if (coord >= 2u && coord < 32u && (coord - 2u) % 3u == 0u) { out[i] = f32(b0[((i / 512u) % 1u) * 160u + ((i / 32u) % 16u) * 10u + ((((i / 1u) % 32u) - 2u) / 3u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/35b866864f2f36fad2f64440227cd6088083c96b0ef50192ce71ef159e1d1b11.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/35b866864f2f36fad2f64440227cd6088083c96b0ef50192ce71ef159e1d1b11.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c5f0b083b9365ca2b0ce0f47152ac164031fa589 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/35b866864f2f36fad2f64440227cd6088083c96b0ef50192ce71ef159e1d1b11.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 64u; + if (row >= 64u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 2048u; j++) { + let v = f32(b0[row * 2048u + j]); + total += v * v; + } + factor = inverseSqrt(total / 2048.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 2048u; p += 64u) { + let i = row * 2048u + p; + out[i] = f32(f32(b0[row * 2048u + p]) * factor * (f32(b1[p]) + 1.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/360a02a53c176d885331b307a6972d974ce5c8dad0d961b8521c6fd8b37d7ebe.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/360a02a53c176d885331b307a6972d974ce5c8dad0d961b8521c6fd8b37d7ebe.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..1a32d6404eabb95d2ee817e2f221e7e7f5895cce --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/360a02a53c176d885331b307a6972d974ce5c8dad0d961b8521c6fd8b37d7ebe.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 65536 || token >= 98304) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 65536) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3622ffa2072335a35d6c9db5d284ed92b3fb5ed304acc2c606408063e7e21dcd.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3622ffa2072335a35d6c9db5d284ed92b3fb5ed304acc2c606408063e7e21dcd.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..024f825c272aa685f0711585490d1ea0e262f385 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3622ffa2072335a35d6c9db5d284ed92b3fb5ed304acc2c606408063e7e21dcd.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(b0[((i / 32768u) % 1u) * 65536u + ((i / 2048u) % 16u) * 4096u + ((i / 256u) % 8u) * 512u + (((i / 1u) % 256u) * 1u + 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/36c55d910d6fdaf8d3a2bba5a559bf7dcf54364986a7f2c0610b523600667d91.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/36c55d910d6fdaf8d3a2bba5a559bf7dcf54364986a7f2c0610b523600667d91.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..7e8bfe776cd28ddfc7651fd2d9406f589f914982 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/36c55d910d6fdaf8d3a2bba5a559bf7dcf54364986a7f2c0610b523600667d91.wgsl @@ -0,0 +1,22 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var b3: array; +@group(0) @binding(4) var b4: array; +@group(0) @binding(5) var b5: array; +@group(0) @binding(6) var b6: array; +@group(0) @binding(7) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 3670016u; +if (i >= 3670016u) { return; } +let coord = (i / 1u) % 229376u; +if (coord >= 0u && coord < 32768u) { out[i] = f32(b0[(i / 229376u) * 32768u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32768u && coord < 65536u) { out[i] = f32(b1[(i / 229376u) * 32768u + (coord - 32768u) * 1u + i % 1u]); } +if (coord >= 65536u && coord < 98304u) { out[i] = f32(b2[(i / 229376u) * 32768u + (coord - 65536u) * 1u + i % 1u]); } +if (coord >= 98304u && coord < 131072u) { out[i] = f32(b3[(i / 229376u) * 32768u + (coord - 98304u) * 1u + i % 1u]); } +if (coord >= 131072u && coord < 163840u) { out[i] = f32(b4[(i / 229376u) * 32768u + (coord - 131072u) * 1u + i % 1u]); } +if (coord >= 163840u && coord < 196608u) { out[i] = f32(b5[(i / 229376u) * 32768u + (coord - 163840u) * 1u + i % 1u]); } +if (coord >= 196608u && coord < 229376u) { out[i] = f32(b6[(i / 229376u) * 32768u + (coord - 196608u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3830061b0fc54c85d3d8a783b927c44484b1a3b68b52b8d8a1b980f7553deebf.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3830061b0fc54c85d3d8a783b927c44484b1a3b68b52b8d8a1b980f7553deebf.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..95c986ed8372eaa483413ddfe7e3a70d877c81b6 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3830061b0fc54c85d3d8a783b927c44484b1a3b68b52b8d8a1b980f7553deebf.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +out[i] = f32(b0[((i / 1024u) % 1u) * 2048u + ((i / 512u) % 2u) * 1024u + ((i / 32u) % 16u) * 64u + (((i / 1u) % 32u) * 1u + 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/38bd527686bcade9ed19a52788ccd711ca668e76854cc6274c480860fce88ff2.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/38bd527686bcade9ed19a52788ccd711ca668e76854cc6274c480860fce88ff2.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..934e1895005499ddd0c97450335aaf4cb8e9454e --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/38bd527686bcade9ed19a52788ccd711ca668e76854cc6274c480860fce88ff2.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(b0[((i / 2048u) % 1u) * 6144u + ((i / 2048u) % 1u) * 6144u + (((i / 1u) % 2048u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/39646bdfafd1ab0cb874474e3f1e9d79b57f10582a1804bc1d3762a492fec851.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/39646bdfafd1ab0cb874474e3f1e9d79b57f10582a1804bc1d3762a492fec851.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..94055a18d56459161a2b133b2c2bc3d726cebd53 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/39646bdfafd1ab0cb874474e3f1e9d79b57f10582a1804bc1d3762a492fec851.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 64u) % 64u) * 64u + ((i / 1u) % 64u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/39e41393f5850cc4f0b2e8172a3c53c8c7fb874ceb4df2c6f13f9af6128ad7fc.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/39e41393f5850cc4f0b2e8172a3c53c8c7fb874ceb4df2c6f13f9af6128ad7fc.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..de4fe56b7e7f6725c8af959caf3cf986b1985db0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/39e41393f5850cc4f0b2e8172a3c53c8c7fb874ceb4df2c6f13f9af6128ad7fc.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 64u) % 64u) * 64u + ((i / 1u) % 64u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3a76085983a5330bf07a4166ea4975700403f9d8035a8ef450f7f18b9cf47c66.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3a76085983a5330bf07a4166ea4975700403f9d8035a8ef450f7f18b9cf47c66.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5cad6f7d757713f64a9fa63553214201fcfad2bf --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3a76085983a5330bf07a4166ea4975700403f9d8035a8ef450f7f18b9cf47c66.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(b0[((i / 131072u) % 1u) * 262144u + ((i / 2048u) % 64u) * 4096u + ((i / 256u) % 8u) * 512u + (((i / 1u) % 256u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3b2b13d75a6ce00e35c674883bbf1969555c8fc9e088e7d2003a5ea57b4552ff.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3b2b13d75a6ce00e35c674883bbf1969555c8fc9e088e7d2003a5ea57b4552ff.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..fea6f8c1f04d0d77d4b290bbe58231fae7d649f0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3b2b13d75a6ce00e35c674883bbf1969555c8fc9e088e7d2003a5ea57b4552ff.wgsl @@ -0,0 +1,22 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var b3: array; +@group(0) @binding(4) var b4: array; +@group(0) @binding(5) var b5: array; +@group(0) @binding(6) var b6: array; +@group(0) @binding(7) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4194240u; +if (i >= 14680064u) { return; } +let coord = (i / 1u) % 229376u; +if (coord >= 0u && coord < 32768u) { out[i] = f32(b0[(i / 229376u) * 32768u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32768u && coord < 65536u) { out[i] = f32(b1[(i / 229376u) * 32768u + (coord - 32768u) * 1u + i % 1u]); } +if (coord >= 65536u && coord < 98304u) { out[i] = f32(b2[(i / 229376u) * 32768u + (coord - 65536u) * 1u + i % 1u]); } +if (coord >= 98304u && coord < 131072u) { out[i] = f32(b3[(i / 229376u) * 32768u + (coord - 98304u) * 1u + i % 1u]); } +if (coord >= 131072u && coord < 163840u) { out[i] = f32(b4[(i / 229376u) * 32768u + (coord - 131072u) * 1u + i % 1u]); } +if (coord >= 163840u && coord < 196608u) { out[i] = f32(b5[(i / 229376u) * 32768u + (coord - 163840u) * 1u + i % 1u]); } +if (coord >= 196608u && coord < 229376u) { out[i] = f32(b6[(i / 229376u) * 32768u + (coord - 196608u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3b8210d9acf57a3c1cca9e926547520d5994967f27ce92897a15b14137f7da66.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3b8210d9acf57a3c1cca9e926547520d5994967f27ce92897a15b14137f7da66.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3cc6b6a79e115907ddba628a69ca56d1e2fd91f8 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3b8210d9acf57a3c1cca9e926547520d5994967f27ce92897a15b14137f7da66.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 192u; +if (i >= 176u) { return; } +out[i] = f32(b0[((i / 176u) % 1u) * 512u + ((i / 11u) % 16u) * 32u + (((i / 1u) % 11u) * 3u + 1u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3bb850bda95bf77706a2839616a401b773f9de0428d1b427e61fb04e2c35fe74.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3bb850bda95bf77706a2839616a401b773f9de0428d1b427e61fb04e2c35fe74.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a3e680fcc3fb413659faf5613327f7d216420af9 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3bb850bda95bf77706a2839616a401b773f9de0428d1b427e61fb04e2c35fe74.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 96u) { return; } +let coord = (i / 32u) % 3u; +if (coord == 0u) { out[i] = f32(b0[((i / 32u) % 1u) * 32u + ((i / 32u) % 1u) * 32u + ((i / 1u) % 32u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3d5b97cfaf8dd0e680b6a9c84e7eca497f9f6e49817d20f1a72dddd7a3303f73.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3d5b97cfaf8dd0e680b6a9c84e7eca497f9f6e49817d20f1a72dddd7a3303f73.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ade0f2b617f3d56489ba74742e9111451ad63381 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3d5b97cfaf8dd0e680b6a9c84e7eca497f9f6e49817d20f1a72dddd7a3303f73.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 24576u; +if (i >= 24576u) { return; } +let x = f32(b0[i]); let s = f32(f32(x / (1.0 + exp(-x)))); +out[i] = f32(s * f32(b1[i])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3daeb9cba5c07ed47ac55e1c2565aa82f7d8e8409037707e7339d1d96d122144.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3daeb9cba5c07ed47ac55e1c2565aa82f7d8e8409037707e7339d1d96d122144.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5f8915fc662d64438f02eef6c1ea2167f64fff2e --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3daeb9cba5c07ed47ac55e1c2565aa82f7d8e8409037707e7339d1d96d122144.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 512u; +if (i >= 512u) { return; } +let coord = (i / 1u) % 32u; +if (coord >= 1u && coord < 34u && (coord - 1u) % 3u == 0u) { out[i] = f32(b0[((i / 512u) % 1u) * 176u + ((i / 32u) % 16u) * 11u + ((((i / 1u) % 32u) - 1u) / 3u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3e34409407100d4858c4c109cf62f3eaf2f4c6081166b0ec8679105e6dfbe7fe.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3e34409407100d4858c4c109cf62f3eaf2f4c6081166b0ec8679105e6dfbe7fe.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8d848be2527138a28929c1abca7db36988b86119 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3e34409407100d4858c4c109cf62f3eaf2f4c6081166b0ec8679105e6dfbe7fe.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 16384u; +if (i >= 16384u) { return; } +let x = f32(b0[i]); +out[i] = f32(-x); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3f89d19bd6791657fa702ad00a0517b5f292dbf7d0c196bd5b21c949476d23fd.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3f89d19bd6791657fa702ad00a0517b5f292dbf7d0c196bd5b21c949476d23fd.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..76fef58bda8c3635f8de713e9d2e8807bca9fe33 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3f89d19bd6791657fa702ad00a0517b5f292dbf7d0c196bd5b21c949476d23fd.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 384u; +if (i >= 384u) { return; } +let coord = (i / 128u) % 3u; +if (coord == 0u) { out[i] = f32(b0[((i / 128u) % 1u) * 128u + ((i / 32u) % 4u) * 32u + ((i / 1u) % 32u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3fa1efae6d90015ba69cb40cef009f49ad7f7a960018fb92a962707deff4f09e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3fa1efae6d90015ba69cb40cef009f49ad7f7a960018fb92a962707deff4f09e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..dd0f6856d5316f3d610290ed98cf1a9c465f554d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3fa1efae6d90015ba69cb40cef009f49ad7f7a960018fb92a962707deff4f09e.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 10u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3fea2ac7546eb13332dd11cb7001141e5e06137f7b0b40b5bcf3eaae43278b6e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3fea2ac7546eb13332dd11cb7001141e5e06137f7b0b40b5bcf3eaae43278b6e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..85dac3a647a704463118df6246c6eab5f1eb1dd1 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/3fea2ac7546eb13332dd11cb7001141e5e06137f7b0b40b5bcf3eaae43278b6e.wgsl @@ -0,0 +1,25 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var partial: array; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let i = group.x + group.y * 32768u; + if (i >= 32768u) { return; } + let lane = local.x; + var acc = 0.0; + for (var p = lane; p < 2048u; p += 64u) { acc += f32(b0[(i / 32768u) * 2048u + p]) * unpack_bf16_1((i % 32768u) * 2048u + p); } + partial[lane] = acc; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + if (lane == 0u) { out[i] = f32(partial[0] + 0.0); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/40f115c8647a238bfb3ccb0bb8446bccdc94a0dfadc89111c4920efb2259f41d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/40f115c8647a238bfb3ccb0bb8446bccdc94a0dfadc89111c4920efb2259f41d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a3810cf85ad885e651db3ad41a77356904ea9c05 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/40f115c8647a238bfb3ccb0bb8446bccdc94a0dfadc89111c4920efb2259f41d.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 64u) % 4u) * 64u + ((i / 1u) % 64u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/416348e2f9aab462c4ea190374014f09c7fd3114626ee3f48fb39a096fceab7a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/416348e2f9aab462c4ea190374014f09c7fd3114626ee3f48fb39a096fceab7a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..13cd532c483edcedd277e3ca811988d7012a34b9 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/416348e2f9aab462c4ea190374014f09c7fd3114626ee3f48fb39a096fceab7a.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 0 || token >= 32768) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 0) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/42c5af4838daf75fff9d4bb9a5df409511c1d6daed617d05eaf033a977503eac.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/42c5af4838daf75fff9d4bb9a5df409511c1d6daed617d05eaf033a977503eac.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ab4b18691ec8371839272e82e1191ffc00772c73 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/42c5af4838daf75fff9d4bb9a5df409511c1d6daed617d05eaf033a977503eac.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 32u) { return; } +let coord = (i / 1u) % 32u; +if (coord >= 1u && coord < 34u && (coord - 1u) % 3u == 0u) { out[i] = f32(b0[((i / 32u) % 1u) * 11u + ((i / 32u) % 1u) * 11u + ((((i / 1u) % 32u) - 1u) / 3u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4365c6a2818dc6f2b29aa9a1994d3ff2a44af72e3e9276e92e927705e2bbea3e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4365c6a2818dc6f2b29aa9a1994d3ff2a44af72e3e9276e92e927705e2bbea3e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..97f2f912c0660d356a6008357e7a36ae5d510b35 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4365c6a2818dc6f2b29aa9a1994d3ff2a44af72e3e9276e92e927705e2bbea3e.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 196608 || token >= 229376) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 196608) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4406ab1e6e4b9eeb91ace297320aa05a55cc481e02894a4a74b655b4070ade36.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4406ab1e6e4b9eeb91ace297320aa05a55cc481e02894a4a74b655b4070ade36.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3f6f007f45374a356a5ce1118272058bb1a41c01 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4406ab1e6e4b9eeb91ace297320aa05a55cc481e02894a4a74b655b4070ade36.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 98304u; +if (i >= 98304u) { return; } +out[i] = f32(b0[((i / 98304u) % 1u) * 131072u + ((i / 12288u) % 8u) * 16384u + ((i / 192u) % 64u) * 256u + (((i / 1u) % 192u) * 1u + 64u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4540d87eaec90c9eb42badfe0abfa70252f26b6e7de4dd31ee6903fe50e96bd1.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4540d87eaec90c9eb42badfe0abfa70252f26b6e7de4dd31ee6903fe50e96bd1.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a0caa5c08df286ab5dbba084e1b6b90da802badc --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4540d87eaec90c9eb42badfe0abfa70252f26b6e7de4dd31ee6903fe50e96bd1.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 262144u; +if (i >= 262144u) { return; } +out[i] = f32(f32(b0[i]) + (f32(b1[i]) * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/45a1fd3ed514f208718651026bf2ee30dda66b02cdd950dc71e88eb6bdac0b10.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/45a1fd3ed514f208718651026bf2ee30dda66b02cdd950dc71e88eb6bdac0b10.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..695035d8c2fafdd1787dc5d92fff564741c00055 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/45a1fd3ed514f208718651026bf2ee30dda66b02cdd950dc71e88eb6bdac0b10.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[i])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/466959b3cf0d274924151bdd80808e8451f9d8c2aac1455a44f26fa6d8b44fd0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/466959b3cf0d274924151bdd80808e8451f9d8c2aac1455a44f26fa6d8b44fd0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..624963c4b33f008194e17926223b6e3c22aff730 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/466959b3cf0d274924151bdd80808e8451f9d8c2aac1455a44f26fa6d8b44fd0.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 262144u; +if (i >= 262144u) { return; } +out[i] = f32(b0[((i / 262144u) % 1u) * 294912u + ((i / 16384u) % 16u) * 18432u + (((i / 128u) % 128u) * 1u + 0u) * 128u + ((i / 1u) % 128u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/48608b2b7bfbe0b65d9e2d82a94a76683315421acb1bf168b4baf14a3c139f76.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/48608b2b7bfbe0b65d9e2d82a94a76683315421acb1bf168b4baf14a3c139f76.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..e47ed666d2bf202931d9ac16d8cb0dd22e57b6d3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/48608b2b7bfbe0b65d9e2d82a94a76683315421acb1bf168b4baf14a3c139f76.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 704u; +if (i >= 704u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/48ec6f5173dcab06386f158b26dfbecfb5022f620fa9588a9cb947664b01037e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/48ec6f5173dcab06386f158b26dfbecfb5022f620fa9588a9cb947664b01037e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..cfbc4bfde83f2f88962a6787a00efb3fd7382a50 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/48ec6f5173dcab06386f158b26dfbecfb5022f620fa9588a9cb947664b01037e.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4194240u; +if (i >= 15892480u) { return; } +let coord = (i / 1u) % 248320u; +if (coord >= 0u && coord < 229376u) { out[i] = f32(b0[(i / 248320u) * 229376u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 229376u && coord < 248320u) { out[i] = f32(b1[(i / 248320u) * 18944u + (coord - 229376u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/498dfd9bc6d761254cfa6cb88cd82c3903c82ce5d12f1b0270dd71e2b50059f7.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/498dfd9bc6d761254cfa6cb88cd82c3903c82ce5d12f1b0270dd71e2b50059f7.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b30cce2738d7d5d8a3dbef332584690ffbe224b4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/498dfd9bc6d761254cfa6cb88cd82c3903c82ce5d12f1b0270dd71e2b50059f7.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 4u && col < 2048u) { value = f32(f32(b0[(batch * 4u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 18944u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 4u && out_col < 18944u) { + let i = (batch * 4u + out_row) * 18944u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4a4eb52af727f11dfbd69b294a8ab3eb5053bd5a2feea3cfdb35ab10bc1a4426.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4a4eb52af727f11dfbd69b294a8ab3eb5053bd5a2feea3cfdb35ab10bc1a4426.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..dc3d6070aa02c4dad5f2bf7125c9300ad9860ca8 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4a4eb52af727f11dfbd69b294a8ab3eb5053bd5a2feea3cfdb35ab10bc1a4426.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 64u) { return; } +out[i] = f32(f32(b0[i]) + (1e-06 * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4b098a370a6c993f2c974bd5afcc00f7e3686a600c458a060c7e7db3193789ba.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4b098a370a6c993f2c974bd5afcc00f7e3686a600c458a060c7e7db3193789ba.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..9f6db55c3cd410fd8c73944788ff79bbc5d20ba5 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4b098a370a6c993f2c974bd5afcc00f7e3686a600c458a060c7e7db3193789ba.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(b0[((i / 131072u) % 1u) * 393216u + ((i / 2048u) % 64u) * 6144u + (((i / 1u) % 2048u) * 1u + 2048u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4b1a7529fd5c57d5d4593d4af58a9a3b545c7d106d18251f6452f8a562b97952.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4b1a7529fd5c57d5d4593d4af58a9a3b545c7d106d18251f6452f8a562b97952.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a2c7dcea92e4a5fa9a904796505efde56c5a3ae5 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4b1a7529fd5c57d5d4593d4af58a9a3b545c7d106d18251f6452f8a562b97952.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 16u) { return; } +out[i] = f32(f32(b0[i]) + (f32(b1[((i / 1u) % 16u) * 1u]) * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4be963f9a4bb928764fd0efe02769e220b0e69defb2f8b22ab28e41a90d3fc14.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4be963f9a4bb928764fd0efe02769e220b0e69defb2f8b22ab28e41a90d3fc14.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..24b926b3b907f9052d46718955950614e3f4d5b2 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4be963f9a4bb928764fd0efe02769e220b0e69defb2f8b22ab28e41a90d3fc14.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 11u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d05b472f8cb3485606d782585e1061973f1391d129fb765f9cb0f38c5fbb433.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d05b472f8cb3485606d782585e1061973f1391d129fb765f9cb0f38c5fbb433.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c56dc651ca20bad5f92c614560567912f07eaab6 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d05b472f8cb3485606d782585e1061973f1391d129fb765f9cb0f38c5fbb433.wgsl @@ -0,0 +1,44 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var b3: array; +@group(0) @binding(4) var b4: array; +@group(0) @binding(5) var b5: array; +@group(0) @binding(6) var out: array; + +var partial: array; +var delta: f32; +@compute @workgroup_size(128) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let column = group.x; + let head = group.y; + let batch_index = group.z; + let lane = local.x; + var recurrent = 0.0; + if (lane < 128u) { recurrent = f32(b5[((batch_index * 16u + head) * 128u + lane) * 128u + column]); } + for (var token = 0u; token < 16u; token++) { + recurrent *= exp(f32(b3[(batch_index * 16u + token) * 16u + head])); + partial[lane] = 0.0; + if (lane < 128u) { partial[lane] = recurrent * f32(b1[((batch_index * 16u + token) * 16u + head) * 128u + lane]); } + workgroupBarrier(); + for (var stride = 64u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + if (lane == 0u) { delta = (f32(b2[((batch_index * 16u + token) * 16u + head) * 128u + column]) - partial[0]) * f32(b4[(batch_index * 16u + token) * 16u + head]); } + workgroupBarrier(); + if (lane < 128u) { recurrent += f32(b1[((batch_index * 16u + token) * 16u + head) * 128u + lane]) * delta; } + partial[lane] = 0.0; + if (lane < 128u) { + partial[lane] = recurrent * f32(b0[((batch_index * 16u + token) * 16u + head) * 128u + lane]) * 0.08838834764831845; + } + workgroupBarrier(); + for (var stride = 64u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + if (lane == 0u) { out[((batch_index * 16u + head) * 144u + 128u + token) * 128u + column] = f32(partial[0]); } + workgroupBarrier(); + } + if (lane < 128u) { out[((batch_index * 16u + head) * 144u + lane) * 128u + column] = f32(recurrent); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d46494a55ac0b66fdddd47b9422106ac39e0c7d206f01004e13f93a010e1bf5.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d46494a55ac0b66fdddd47b9422106ac39e0c7d206f01004e13f93a010e1bf5.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8a51207a37a0e52b47144cddccc479dbb2363614 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d46494a55ac0b66fdddd47b9422106ac39e0c7d206f01004e13f93a010e1bf5.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 49152u; +if (i >= 49152u) { return; } +let coord = (i / 1u) % 8u; +if (coord >= 0u && coord < 4u) { out[i] = f32(b0[(i / 8u) * 4u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 4u && coord < 8u) { out[i] = f32(b1[(i / 8u) * 4u + (coord - 4u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d8ebffbbf193b18c13a5cc17d286bf5c92c5ba53ca022af78a9151ec1e5b9c0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d8ebffbbf193b18c13a5cc17d286bf5c92c5ba53ca022af78a9151ec1e5b9c0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..03d07fa428a8b82cd684f25b34ee4bb8835c33e0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4d8ebffbbf193b18c13a5cc17d286bf5c92c5ba53ca022af78a9151ec1e5b9c0.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(b0[((i / 32768u) % 1u) * 131072u + ((i / 4096u) % 8u) * 16384u + ((i / 64u) % 64u) * 256u + (((i / 1u) % 64u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4f27100b1e707c866f7cdd701f722bed2969be6e71245d4e4a14e1ef7ebe3fcf.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4f27100b1e707c866f7cdd701f722bed2969be6e71245d4e4a14e1ef7ebe3fcf.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..d5a19434a45eee25f6d04502544c62118c4e993c --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4f27100b1e707c866f7cdd701f722bed2969be6e71245d4e4a14e1ef7ebe3fcf.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 131072 || token >= 163840) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 131072) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4f2c0d08150d4b97d90c244db2d41baca81484c2630dbbd6d586f2d8a4b07b8b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4f2c0d08150d4b97d90c244db2d41baca81484c2630dbbd6d586f2d8a4b07b8b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c81e589abef0fba31bf1517192cc0be68ca566c6 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4f2c0d08150d4b97d90c244db2d41baca81484c2630dbbd6d586f2d8a4b07b8b.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(b0[((i / 131072u) % 1u) * 131072u + ((i / 2048u) % 64u) * 256u + ((i / 256u) % 8u) * 16384u + ((i / 1u) % 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4fa24e8f09b07271534341707a7a688af67c7deca1f114bfaeba20a2e066c9f1.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4fa24e8f09b07271534341707a7a688af67c7deca1f114bfaeba20a2e066c9f1.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..83c89e6b3a228b3203eb756839b56f1ff744d6b2 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4fa24e8f09b07271534341707a7a688af67c7deca1f114bfaeba20a2e066c9f1.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1536u; +if (i >= 1536u) { return; } +let coord = (i / 512u) % 3u; +if (coord == 0u) { out[i] = f32(b0[((i / 512u) % 1u) * 512u + ((i / 32u) % 16u) * 32u + ((i / 1u) % 32u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4fad29e3e337840e25132f10b3e3d55225f727ae13525ff0b0bdf31e03f09d74.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4fad29e3e337840e25132f10b3e3d55225f727ae13525ff0b0bdf31e03f09d74.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..77c9771680a7b21ef657c6b7303a2db2a2eeb5c4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/4fad29e3e337840e25132f10b3e3d55225f727ae13525ff0b0bdf31e03f09d74.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +let x = f32(b0[i]); +out[i] = f32(-x); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/50535e4c99d9fb4a272d8260a1415f6b38a7ad1025da64e145f230df697d9b73.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/50535e4c99d9fb4a272d8260a1415f6b38a7ad1025da64e145f230df697d9b73.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..9735e1efba0b2297940b84a0830ec5b3b741dbd5 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/50535e4c99d9fb4a272d8260a1415f6b38a7ad1025da64e145f230df697d9b73.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +let x = f32(b0[i]); +out[i] = f32(1.0 / (1.0 + exp(-x))); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/51fd4d798491c6a80daff4c18b0495926b7f62269dfc3a78a327faa52ba2a759.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/51fd4d798491c6a80daff4c18b0495926b7f62269dfc3a78a327faa52ba2a759.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..fc751a3c5de6830de0104027f986f119ec7276f2 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/51fd4d798491c6a80daff4c18b0495926b7f62269dfc3a78a327faa52ba2a759.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 16u) { return; } +let x = f32(b0[i]); +out[i] = f32(exp(x)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/52210a661e4d5241f53b3b1caf65456e1988ddd663ded8ead63ee7f7c7e3ff57.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/52210a661e4d5241f53b3b1caf65456e1988ddd663ded8ead63ee7f7c7e3ff57.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..70f8e98145f911a3fcd4871c31d5a135f54d9382 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/52210a661e4d5241f53b3b1caf65456e1988ddd663ded8ead63ee7f7c7e3ff57.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(b0[((i / 32768u) % 1u) * 32768u + ((i / 2048u) % 16u) * 128u + ((i / 128u) % 16u) * 2048u + ((i / 1u) % 128u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/53cf98d6fc99b90fc54e49ab6dca199d0422fb709435ecdd81c778578970aea7.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/53cf98d6fc99b90fc54e49ab6dca199d0422fb709435ecdd81c778578970aea7.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..126abbe3bc029381e16e5dc547965606578ec5fd --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/53cf98d6fc99b90fc54e49ab6dca199d0422fb709435ecdd81c778578970aea7.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 16u && col < 2048u) { value = f32(f32(b0[(batch * 16u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 16u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 16u && out_col < 16u) { + let i = (batch * 16u + out_row) * 16u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/55b9c48ba429daf80bbae0b4737f895b475abdc9ddfdc88ab2f894f133ec2bf9.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/55b9c48ba429daf80bbae0b4737f895b475abdc9ddfdc88ab2f894f133ec2bf9.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2af2397f376be638d8bdd9858e37047571ac05c7 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/55b9c48ba429daf80bbae0b4737f895b475abdc9ddfdc88ab2f894f133ec2bf9.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 30720u; +if (i >= 30720u) { return; } +let x = f32(b0[i]); +out[i] = f32(x / (1.0 + exp(-x))); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/56167a7e8fb1c67fa72948a8baa71866d54cc775be83f8cfa75a947ac0f58b12.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/56167a7e8fb1c67fa72948a8baa71866d54cc775be83f8cfa75a947ac0f58b12.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..131d933387a2c401768152b9d9a7aebba3045f1d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/56167a7e8fb1c67fa72948a8baa71866d54cc775be83f8cfa75a947ac0f58b12.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 640u; +if (i >= 640u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/564b62d37d6845f8049f903d4ba35762c607937d8a9644bfe511fbc7bf90dacd.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/564b62d37d6845f8049f903d4ba35762c607937d8a9644bfe511fbc7bf90dacd.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..207ccef3274729b4ec8b34bb1549e283d3949102 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/564b62d37d6845f8049f903d4ba35762c607937d8a9644bfe511fbc7bf90dacd.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 64u; + if (row >= 64u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 128u; j++) { + let v = f32(b0[row * 128u + j]); + total += v * v; + } + factor = inverseSqrt(total / 128.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 128u; p += 64u) { + let i = row * 128u + p; + out[i] = f32(f32(b0[row * 128u + p]) * factor * (f32(b1[p]) + 0.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/577120bb3cdd5d1fb64df75a3d9d9bfb7df9a47cbe10c3df4702cdedda8742f2.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/577120bb3cdd5d1fb64df75a3d9d9bfb7df9a47cbe10c3df4702cdedda8742f2.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..4d943a2df4febe70053c14959960a8e1e18794c2 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/577120bb3cdd5d1fb64df75a3d9d9bfb7df9a47cbe10c3df4702cdedda8742f2.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 131072 || token >= 163840) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 131072) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/58077eb80a5fa253f535c97c82dc07edd48455a17cc52583aeee41c7d1bbd0b3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/58077eb80a5fa253f535c97c82dc07edd48455a17cc52583aeee41c7d1bbd0b3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..26c3fcd5a0947b3197d818ca3d28084a0e9883c0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/58077eb80a5fa253f535c97c82dc07edd48455a17cc52583aeee41c7d1bbd0b3.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +out[i] = f32(b0[((i / 1024u) % 1u) * 2048u + ((i / 512u) % 2u) * 1024u + ((i / 32u) % 16u) * 64u + (((i / 1u) % 32u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/59b8a018e76aa8aebe394fa4ec05fb821c686b4bca326a00818f625c0b6fbc87.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/59b8a018e76aa8aebe394fa4ec05fb821c686b4bca326a00818f625c0b6fbc87.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..1c9a11737e3799f43dafe73cce2d43cb2d565682 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/59b8a018e76aa8aebe394fa4ec05fb821c686b4bca326a00818f625c0b6fbc87.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 16u && col < 2048u) { value = f32(f32(b0[(batch * 16u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 6144u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 16u && out_col < 6144u) { + let i = (batch * 16u + out_row) * 6144u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/59ea88d691b919af03bbb26f0253decfbc35d74f9661cdd3a08570ae85c313d2.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/59ea88d691b919af03bbb26f0253decfbc35d74f9661cdd3a08570ae85c313d2.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5330d07c480a06ace52bbbeb6bf873fea1416d6c --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/59ea88d691b919af03bbb26f0253decfbc35d74f9661cdd3a08570ae85c313d2.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 16u) { return; } +let x = f32(b0[i]); +if (x * 1.0 > 20.0) { out[i] = f32(x); return; } +out[i] = f32(log(1.0 + exp(x * 1.0)) / 1.0); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5a3a2ba3e1cb848fbbeeafe66425eae65d9fd196646d15eef291188a8179e044.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5a3a2ba3e1cb848fbbeeafe66425eae65d9fd196646d15eef291188a8179e044.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b4abda1ec110ebd592305d0f5da6c3c12a9cd3b2 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5a3a2ba3e1cb848fbbeeafe66425eae65d9fd196646d15eef291188a8179e044.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 256u; + if (row >= 256u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 128u; j++) { + let v = f32(b0[row * 128u + j]); + total += v * v; + } + factor = inverseSqrt(total / 128.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 128u; p += 64u) { + let i = row * 128u + p; + out[i] = f32(f32(b0[row * 128u + p]) * factor * (f32(b1[p]) + 0.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5a80240445ca04ae3b84f39595985aa106dbdbb0f34e8d52d89b945237abe3ad.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5a80240445ca04ae3b84f39595985aa106dbdbb0f34e8d52d89b945237abe3ad.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..65209413adb38eee8caf7a0a4cc47bc22beafcdc --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5a80240445ca04ae3b84f39595985aa106dbdbb0f34e8d52d89b945237abe3ad.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 64>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 64u; + var acc: array, 4>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 4u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 64u && col < 2048u) { value = f32(f32(b0[(batch * 64u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 2048u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 4u; r++) { + let a_value = tile_a[local.y * 4u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 4u; r++) { + let out_row = tile_row + local.y * 4u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 64u && out_col < 2048u) { + let i = (batch * 64u + out_row) * 2048u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5aabb2d12f9b0486434345056b4bd24e4456ed356030141bf18306c0d7524476.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5aabb2d12f9b0486434345056b4bd24e4456ed356030141bf18306c0d7524476.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0bab337250e536ae8fba38e52f533bb044d86428 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5aabb2d12f9b0486434345056b4bd24e4456ed356030141bf18306c0d7524476.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +var tile: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(local_invocation_id) local: vec3, @builtin(workgroup_id) group: vec3) { + let batch = group.z; + let input_row = group.y * 16u + local.y; + let input_col = group.x * 16u + local.x; + if (input_row < 6144u && input_col < 64u) { + tile[local.y][local.x] = f32(b0[batch * 393216u + input_row * 64u + input_col]); + } + workgroupBarrier(); + let output_row = group.x * 16u + local.y; + let output_col = group.y * 16u + local.x; + if (output_row < 64u && output_col < 6144u) { out[batch * 393216u + output_row * 6144u + output_col] = f32(tile[local.x][local.y]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5b490e5074446b3ca05ffdd5f79c18e32aa5c23339dd93c75956125f4caba51f.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5b490e5074446b3ca05ffdd5f79c18e32aa5c23339dd93c75956125f4caba51f.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..870c6cb0aebb0fde1717398c326d3db43912c502 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5b490e5074446b3ca05ffdd5f79c18e32aa5c23339dd93c75956125f4caba51f.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 1u; + if (row >= 1u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 2048u; j++) { + let v = f32(b0[row * 2048u + j]); + total += v * v; + } + factor = inverseSqrt(total / 2048.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 2048u; p += 64u) { + let i = row * 2048u + p; + out[i] = f32(f32(b0[row * 2048u + p]) * factor * (f32(b1[p]) + 1.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5b657fa4e308a89ca0d0edb8cb2a485d6f048dcdbcffb9e2c3a50073be7ad3ff.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5b657fa4e308a89ca0d0edb8cb2a485d6f048dcdbcffb9e2c3a50073be7ad3ff.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..60716a57ed41c31fd5c206966674517aef787748 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5b657fa4e308a89ca0d0edb8cb2a485d6f048dcdbcffb9e2c3a50073be7ad3ff.wgsl @@ -0,0 +1,22 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var b3: array; +@group(0) @binding(4) var b4: array; +@group(0) @binding(5) var b5: array; +@group(0) @binding(6) var b6: array; +@group(0) @binding(7) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 917504u; +if (i >= 917504u) { return; } +let coord = (i / 1u) % 229376u; +if (coord >= 0u && coord < 32768u) { out[i] = f32(b0[(i / 229376u) * 32768u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32768u && coord < 65536u) { out[i] = f32(b1[(i / 229376u) * 32768u + (coord - 32768u) * 1u + i % 1u]); } +if (coord >= 65536u && coord < 98304u) { out[i] = f32(b2[(i / 229376u) * 32768u + (coord - 65536u) * 1u + i % 1u]); } +if (coord >= 98304u && coord < 131072u) { out[i] = f32(b3[(i / 229376u) * 32768u + (coord - 98304u) * 1u + i % 1u]); } +if (coord >= 131072u && coord < 163840u) { out[i] = f32(b4[(i / 229376u) * 32768u + (coord - 131072u) * 1u + i % 1u]); } +if (coord >= 163840u && coord < 196608u) { out[i] = f32(b5[(i / 229376u) * 32768u + (coord - 163840u) * 1u + i % 1u]); } +if (coord >= 196608u && coord < 229376u) { out[i] = f32(b6[(i / 229376u) * 32768u + (coord - 196608u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c22e6f60217881c0351e38d19057626a6c2292771c1a83816995245777ac2fd.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c22e6f60217881c0351e38d19057626a6c2292771c1a83816995245777ac2fd.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a0a200bcf1771e18ac73794fa78eac0151343d48 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c22e6f60217881c0351e38d19057626a6c2292771c1a83816995245777ac2fd.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +out[i] = f32(b0[((i / 256u) % 1u) * 512u + ((i / 32u) % 8u) * 64u + ((i / 32u) % 1u) * 64u + (((i / 1u) % 32u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c6c3ee968c62238f5bc3de377f01cda30ce85578a7892f973ac37397a3baba1.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c6c3ee968c62238f5bc3de377f01cda30ce85578a7892f973ac37397a3baba1.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8f14c49436b0e210230e3a599c7488fcbc3683e3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c6c3ee968c62238f5bc3de377f01cda30ce85578a7892f973ac37397a3baba1.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 6144u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 16u && col < 6144u) { value = f32(f32(b0[(batch * 16u + row) * 6144u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 2048u && col < 6144u) { value = f32(unpack_bf16_1(n_index * 6144u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 16u && out_col < 2048u) { + let i = (batch * 16u + out_row) * 2048u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c9a5ae6121b3b10611e09e5f1bc563b70191f2506a2afc0f32de823a9d2dac4.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c9a5ae6121b3b10611e09e5f1bc563b70191f2506a2afc0f32de823a9d2dac4.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..fd1c96b16a3a569b268cd100091060be8f6f800c --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5c9a5ae6121b3b10611e09e5f1bc563b70191f2506a2afc0f32de823a9d2dac4.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 128u) { return; } +let coord = (i / 1u) % 64u; +if (coord >= 0u && coord < 32u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32u && coord < 64u) { out[i] = f32(b1[(i / 64u) * 32u + (coord - 32u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5cf28cf1e0aa6d5f0ce563a179880681416b707a70113119e68f1d62dc368c51.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5cf28cf1e0aa6d5f0ce563a179880681416b707a70113119e68f1d62dc368c51.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..25fb4a60e0d5dc5c38f4f96bec8ea29068f2e356 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5cf28cf1e0aa6d5f0ce563a179880681416b707a70113119e68f1d62dc368c51.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 122880u; +if (i >= 122880u) { return; } +let coord = (i / 1u) % 20u; +if (coord >= 0u && coord < 4u) { out[i] = f32(b0[(i / 20u) * 4u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 4u && coord < 20u) { out[i] = f32(b1[(i / 20u) * 16u + (coord - 4u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5eac5f92aa4d18895369b11adb99ac0d9639d8b615f7240cffe6f6be7046e54a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5eac5f92aa4d18895369b11adb99ac0d9639d8b615f7240cffe6f6be7046e54a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..44b1efb36c66e24c004b699b692f008a68d352e6 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5eac5f92aa4d18895369b11adb99ac0d9639d8b615f7240cffe6f6be7046e54a.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 2u; + if (row >= 2u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 256u; j++) { + let v = f32(b0[row * 256u + j]); + total += v * v; + } + factor = inverseSqrt(total / 256.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 256u; p += 64u) { + let i = row * 256u + p; + out[i] = f32(f32(b0[row * 256u + p]) * factor * (f32(b1[p]) + 1.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f57b46016eccc3b50e3685e142b7deadce8f074f124e643e6e7015e2cc27357.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f57b46016eccc3b50e3685e142b7deadce8f074f124e643e6e7015e2cc27357.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..172250df828f8da8336e4e12e54dce7b4361dcca --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f57b46016eccc3b50e3685e142b7deadce8f074f124e643e6e7015e2cc27357.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 512u; +if (i >= 512u) { return; } +out[i] = f32(b0[0u * 512u + ((i / 512u) % 1u) * 512u + ((i / 32u) % 16u) * 32u + ((i / 1u) % 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f657afde3ab80a1fc4b6739c0b702bc5bd60e52630762e66b210fbb8b42b52a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f657afde3ab80a1fc4b6739c0b702bc5bd60e52630762e66b210fbb8b42b52a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c35d470700b5e1330d30c2ea3f7e0c5d0f77d4a6 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f657afde3ab80a1fc4b6739c0b702bc5bd60e52630762e66b210fbb8b42b52a.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 384u; +if (i >= 384u) { return; } +out[i] = f32(b0[((i / 384u) % 1u) * 512u + ((i / 192u) % 2u) * 256u + ((i / 192u) % 1u) * 256u + (((i / 1u) % 192u) * 1u + 64u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f9d7a23bba38f692aefbf2617133c7884ddbe4ea6d985a89a59c1683dcfd6bf.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f9d7a23bba38f692aefbf2617133c7884ddbe4ea6d985a89a59c1683dcfd6bf.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ceee99ad7864aec44da1701c29c6722ce73360ea --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5f9d7a23bba38f692aefbf2617133c7884ddbe4ea6d985a89a59c1683dcfd6bf.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +out[i] = f32(f32(b0[i]) + (f32(b1[((i / 1u) % 16u) * 1u]) * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5fbfe4534ce5bfff645563250dd536998f537f4d690c4c2fc422723d5af8e3ec.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5fbfe4534ce5bfff645563250dd536998f537f4d690c4c2fc422723d5af8e3ec.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..193a2537b445b31c64b052c52eb4c9d921d70b8a --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5fbfe4534ce5bfff645563250dd536998f537f4d690c4c2fc422723d5af8e3ec.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 192u; +if (i >= 160u) { return; } +out[i] = f32(b0[((i / 160u) % 1u) * 512u + ((i / 10u) % 16u) * 32u + (((i / 1u) % 10u) * 3u + 2u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5fd6e068841f5c054392bef564909dbf086bae9e4030f3625d1143244a08cbbf.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5fd6e068841f5c054392bef564909dbf086bae9e4030f3625d1143244a08cbbf.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..d60668fd46afd65337a293687e115ac26feb2dab --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5fd6e068841f5c054392bef564909dbf086bae9e4030f3625d1143244a08cbbf.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 64u) { return; } +let coord = (i / 1u) % 64u; +if (coord >= 0u && coord < 32u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32u && coord < 64u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 32u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5ffab5e011b6e44aae54b4287fcbe68c4a20cee0779818a3178470f3b6d5ffd6.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5ffab5e011b6e44aae54b4287fcbe68c4a20cee0779818a3178470f3b6d5ffd6.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c0bf09599bef50a3975853a18604ea616d8def57 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/5ffab5e011b6e44aae54b4287fcbe68c4a20cee0779818a3178470f3b6d5ffd6.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 131072 || token >= 163840) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 131072) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/605f51996eef0769d3b456a83f7540262d1761589b55d1fd41fb2b4dd8fa249f.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/605f51996eef0769d3b456a83f7540262d1761589b55d1fd41fb2b4dd8fa249f.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b7d98d8c1120f26495f041687f38c922b7d915a0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/605f51996eef0769d3b456a83f7540262d1761589b55d1fd41fb2b4dd8fa249f.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(f32(b0[i]) + (f32(b1[i]) * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62241f9af7edde53e203819e23574a91664aff7282197113c8fee316f6c2af8f.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62241f9af7edde53e203819e23574a91664aff7282197113c8fee316f6c2af8f.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5170f151055f4e74fb81a448bae0c616b5b8c258 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62241f9af7edde53e203819e23574a91664aff7282197113c8fee316f6c2af8f.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(select(f32(b0[i]), f32(b1[i]), f32(b2[((i / 2048u) % 64u) * 1u]) != 0.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62708aacbfcd0063a897e3348ae69a00d4dd155fce6665b18c5176224b039e12.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62708aacbfcd0063a897e3348ae69a00d4dd155fce6665b18c5176224b039e12.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..629602688d61519650c7ac61b20d5224accd2e22 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62708aacbfcd0063a897e3348ae69a00d4dd155fce6665b18c5176224b039e12.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 32768 || token >= 65536) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 32768) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62f30a62c18ed78c9bf37bdc56529accbee2264b9eac931ba0b35a80bb917e7c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62f30a62c18ed78c9bf37bdc56529accbee2264b9eac931ba0b35a80bb917e7c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..f77c378d9485e77efa187d66dd4704a129bbf949 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/62f30a62c18ed78c9bf37bdc56529accbee2264b9eac931ba0b35a80bb917e7c.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 128u) { return; } +out[i] = f32(b0[2u * 128u + ((i / 128u) % 1u) * 128u + ((i / 32u) % 4u) * 32u + ((i / 1u) % 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/63396da046b345383e1c7b09aee551d08e4c3c45030ff5c8bb76bbc34bb2abc6.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/63396da046b345383e1c7b09aee551d08e4c3c45030ff5c8bb76bbc34bb2abc6.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a41ec428d6e31c551c8314a9e96300e2fc7194e8 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/63396da046b345383e1c7b09aee551d08e4c3c45030ff5c8bb76bbc34bb2abc6.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(b0[((i / 32768u) % 1u) * 32768u + ((i / 4096u) % 8u) * 256u + ((i / 256u) % 16u) * 2048u + ((i / 1u) % 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/64f29e6a6e8772f8cfc7449941fd85f70caff7c7e20f316c39b394500e9a8ce1.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/64f29e6a6e8772f8cfc7449941fd85f70caff7c7e20f316c39b394500e9a8ce1.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..4a5c11bc4a5081edc0742bee29b2392e1756f244 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/64f29e6a6e8772f8cfc7449941fd85f70caff7c7e20f316c39b394500e9a8ce1.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +let x = f32(b0[i]); +out[i] = f32(inverseSqrt(x)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/66910ed3098ead5efda545ccf86d718ce7bb894c0d16e6944cdaed2c0f2a8b9f.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/66910ed3098ead5efda545ccf86d718ce7bb894c0d16e6944cdaed2c0f2a8b9f.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..bf708c574bc21b102c9b4ffe97e4391c8d9ab8e1 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/66910ed3098ead5efda545ccf86d718ce7bb894c0d16e6944cdaed2c0f2a8b9f.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(select(f32(b0[i]), f32(b1[i]), f32(b2[((i / 2048u) % 4u) * 1u]) != 0.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/67816e11d408a6230572433502ace2f9a337285eb623360a1cec493e95add139.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/67816e11d408a6230572433502ace2f9a337285eb623360a1cec493e95add139.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3262b91520b6a20fc3d4af305fa62d20f7f489f3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/67816e11d408a6230572433502ace2f9a337285eb623360a1cec493e95add139.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(b0[((i / 2048u) % 1u) * 2048u + ((i / 1024u) % 2u) * 256u + ((i / 256u) % 4u) * 512u + ((i / 1u) % 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/67978e951813ede8016ebf553fb8d3b4ce9e15dd184810544879559208d6b7e1.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/67978e951813ede8016ebf553fb8d3b4ce9e15dd184810544879559208d6b7e1.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3decac1417ec3c8a4798040f6305fb178904c916 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/67978e951813ede8016ebf553fb8d3b4ce9e15dd184810544879559208d6b7e1.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 16u) { return; } +let x = f32(b0[i]); +out[i] = f32(1.0 / (1.0 + exp(-x))); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/687a9faf59b35be173c2861749834333b53400d1dd22bf430cef04722237a309.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/687a9faf59b35be173c2861749834333b53400d1dd22bf430cef04722237a309.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b9310be9718c1ef860ce9c6c007a196a737d0847 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/687a9faf59b35be173c2861749834333b53400d1dd22bf430cef04722237a309.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 98304 || token >= 131072) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 98304) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/690d8dfb579e55be9c90fa8375f6e2ddde55256a6552a59d83e054f34b485ea0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/690d8dfb579e55be9c90fa8375f6e2ddde55256a6552a59d83e054f34b485ea0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8936fc31b8574d16ff2955089500bcb3109d73d8 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/690d8dfb579e55be9c90fa8375f6e2ddde55256a6552a59d83e054f34b485ea0.wgsl @@ -0,0 +1,22 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var b3: array; +@group(0) @binding(4) var b4: array; +@group(0) @binding(5) var b5: array; +@group(0) @binding(6) var b6: array; +@group(0) @binding(7) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 229376u; +if (i >= 229376u) { return; } +let coord = (i / 1u) % 229376u; +if (coord >= 0u && coord < 32768u) { out[i] = f32(b0[(i / 229376u) * 32768u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32768u && coord < 65536u) { out[i] = f32(b1[(i / 229376u) * 32768u + (coord - 32768u) * 1u + i % 1u]); } +if (coord >= 65536u && coord < 98304u) { out[i] = f32(b2[(i / 229376u) * 32768u + (coord - 65536u) * 1u + i % 1u]); } +if (coord >= 98304u && coord < 131072u) { out[i] = f32(b3[(i / 229376u) * 32768u + (coord - 98304u) * 1u + i % 1u]); } +if (coord >= 131072u && coord < 163840u) { out[i] = f32(b4[(i / 229376u) * 32768u + (coord - 131072u) * 1u + i % 1u]); } +if (coord >= 163840u && coord < 196608u) { out[i] = f32(b5[(i / 229376u) * 32768u + (coord - 163840u) * 1u + i % 1u]); } +if (coord >= 196608u && coord < 229376u) { out[i] = f32(b6[(i / 229376u) * 32768u + (coord - 196608u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/691af757595593839af5e5e97ee656472f6e7c7406f57d1d9faae74816d9fc91.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/691af757595593839af5e5e97ee656472f6e7c7406f57d1d9faae74816d9fc91.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a7942f03138945c79bce1f33264f80e672218280 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/691af757595593839af5e5e97ee656472f6e7c7406f57d1d9faae74816d9fc91.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 6144u; +if (i >= 6144u) { return; } +let coord = (i / 2048u) % 3u; +if (coord == 0u) { out[i] = f32(b0[((i / 2048u) % 1u) * 2048u + ((i / 32u) % 64u) * 32u + ((i / 1u) % 32u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/695f529f0e562834854d654e481bdf53c35ad4428f76f66595b3c57cbad54423.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/695f529f0e562834854d654e481bdf53c35ad4428f76f66595b3c57cbad54423.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..7bec1dc64aa1048f3ad37f7e66fea2889c5f3325 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/695f529f0e562834854d654e481bdf53c35ad4428f76f66595b3c57cbad54423.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 248320u; +if (i >= 248320u) { return; } +let coord = (i / 1u) % 248320u; +if (coord >= 0u && coord < 229376u) { out[i] = f32(b0[(i / 248320u) * 229376u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 229376u && coord < 248320u) { out[i] = f32(b1[(i / 248320u) * 18944u + (coord - 229376u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6a045508377e47e95d411257071b7ed8f9097fd220c00de6a5167abb548ebe37.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6a045508377e47e95d411257071b7ed8f9097fd220c00de6a5167abb548ebe37.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..6bd34a6b3bb77a79fdcd3a519ca2897dc0b8084d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6a045508377e47e95d411257071b7ed8f9097fd220c00de6a5167abb548ebe37.wgsl @@ -0,0 +1,21 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 49152u; +if (i >= 49152u) { return; } +let batch = i / 49152u; +let channel = (i / 8u) % 6144u; +let group = channel / 1u; +var acc = 0.0; +for (var c = 0u; c < 1u; c++) { + for (var p = 0u; p < 4u; p++) { + let pos0 = i32((i / 1u) % 8u) * 1 + i32((p / 1u) % 4u) * 1 - 3; + if (pos0 >= 0 && pos0 < 5) { acc += f32(b0[batch * 30720u + (group * 1u + c) * 5u + u32(pos0) * 1u]) * f32(b1[(channel * 1u + c) * 4u + p]); } + } +} +out[i] = f32(acc + 0.0); + +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6a7b2e3778a02c76155d46fa84aeb33f594954e82e09b6b7f2915c0a606eb3f5.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6a7b2e3778a02c76155d46fa84aeb33f594954e82e09b6b7f2915c0a606eb3f5.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..dbb8e11929641cd77e1054eb002c379556e71409 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6a7b2e3778a02c76155d46fa84aeb33f594954e82e09b6b7f2915c0a606eb3f5.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +var acc = 0.0; +for (var j = 0u; j < 128u; j++) { acc += f32(b0[(((i / 2048u) % 1u) * 262144u + ((i / 128u) % 16u) * 16384u + ((i / 1u) % 128u) * 1u) + (((j / 1u) % 128u) * 128u)]); } +out[i] = f32(acc); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6ae4c7f13978e60e3f4ccd5b8172af88d7dc24cfdb236e51b826f13a03d8cd02.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6ae4c7f13978e60e3f4ccd5b8172af88d7dc24cfdb236e51b826f13a03d8cd02.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..1d620a8021e4cd0706b810a2dbc2ee727980b6c2 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6ae4c7f13978e60e3f4ccd5b8172af88d7dc24cfdb236e51b826f13a03d8cd02.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 512u; +if (i >= 512u) { return; } +out[i] = f32(b0[((i / 512u) % 1u) * 2048u + ((i / 64u) % 8u) * 256u + ((i / 64u) % 1u) * 256u + (((i / 1u) % 64u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6c57b74ac00a3e385675c024ab180b06a05158dcda1371891249af95792f27fc.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6c57b74ac00a3e385675c024ab180b06a05158dcda1371891249af95792f27fc.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..459016f5ff986a1eb3571496fd063c81574182d8 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6c57b74ac00a3e385675c024ab180b06a05158dcda1371891249af95792f27fc.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(b0[((i / 8192u) % 1u) * 8192u + ((i / 4096u) % 2u) * 256u + ((i / 256u) % 16u) * 512u + ((i / 1u) % 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6caa35fcab56c639d1859e1b090a7e5bf016dd7f33ecd2373c24ab625de16e09.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6caa35fcab56c639d1859e1b090a7e5bf016dd7f33ecd2373c24ab625de16e09.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5db8d82fad4be98a827f74b0ec3fc41fc2343ddc --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6caa35fcab56c639d1859e1b090a7e5bf016dd7f33ecd2373c24ab625de16e09.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(b0[((i / 2048u) % 1u) * 8192u + ((i / 1024u) % 2u) * 4096u + ((i / 64u) % 16u) * 256u + (((i / 1u) % 64u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6d748fa04b83886e523f4d9b826e6865f73b31dfe31385b10bd0b9cc9ec4d1db.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6d748fa04b83886e523f4d9b826e6865f73b31dfe31385b10bd0b9cc9ec4d1db.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..aa5ac8b5beae5c1e53d680c578ece9e674631f78 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6d748fa04b83886e523f4d9b826e6865f73b31dfe31385b10bd0b9cc9ec4d1db.wgsl @@ -0,0 +1,13 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { + let i = gid.x + gid.y * 8192u; + if (i >= 8192u) { return; } + let token = (i / 256u) % 16u; + let outer = i / 4096u; + let destination = outer * 1048576u + u32(b1[token]) * 256u + i % 256u; + out[((destination) / 256u) % 4096u * 512u + ((destination) / 1048576u) % 2u * 256u + ((destination) / 1u) % 256u * 1u] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6d82b7ed99a04f03fa0b9d241188d9613fa3ce9ff425cf8ee30a7f4ce6ded13d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6d82b7ed99a04f03fa0b9d241188d9613fa3ce9ff425cf8ee30a7f4ce6ded13d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..4872a52cf4ada5f89c536415428031fbe79b8ce5 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6d82b7ed99a04f03fa0b9d241188d9613fa3ce9ff425cf8ee30a7f4ce6ded13d.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4096u; +if (i >= 4096u) { return; } +out[i] = f32(b0[((i / 4096u) % 1u) * 8192u + ((i / 2048u) % 2u) * 4096u + ((i / 32u) % 64u) * 64u + (((i / 1u) % 32u) * 1u + 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6de6505af6ba3c1c020424d3a99773ff62d2308a2fbf2295ec2ea7e919e4cbb9.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6de6505af6ba3c1c020424d3a99773ff62d2308a2fbf2295ec2ea7e919e4cbb9.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..92b787efdff3782565df98fa90a1fd6f3fb1c7bf --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6de6505af6ba3c1c020424d3a99773ff62d2308a2fbf2295ec2ea7e919e4cbb9.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let x = f32(b0[i]); let s = f32(f32(x / (1.0 + exp(-x)))); +out[i] = f32(s * f32(b1[i])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6e158cae64ceafa60c5498129bbc4482684844432772c61a9f2cfb62482bdeb4.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6e158cae64ceafa60c5498129bbc4482684844432772c61a9f2cfb62482bdeb4.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..640e4dd31766c45ff37ad7bc03cc5be441b23b4b --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/6e158cae64ceafa60c5498129bbc4482684844432772c61a9f2cfb62482bdeb4.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 32768 || token >= 65536) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 32768) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7002f8fdf09f5124ce2875c3540bce3e77750260556fc1a00a8b13b6c1871c30.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7002f8fdf09f5124ce2875c3540bce3e77750260556fc1a00a8b13b6c1871c30.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5296bf14fb8b70f8480bfd7ccbbb1548cc142bca --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7002f8fdf09f5124ce2875c3540bce3e77750260556fc1a00a8b13b6c1871c30.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 512u; +if (i >= 512u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 1u) % 64u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7121b5c223da0b0f28991f55cfed3c3f3390caa0bf65a8e58ae380db281ceb6b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7121b5c223da0b0f28991f55cfed3c3f3390caa0bf65a8e58ae380db281ceb6b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..69d777ae7caf63f2db83f47bb596dbe1e85a7c4b --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7121b5c223da0b0f28991f55cfed3c3f3390caa0bf65a8e58ae380db281ceb6b.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 11u) { return; } +out[i] = f32(b0[((i / 11u) % 1u) * 32u + ((i / 11u) % 1u) * 32u + (((i / 1u) % 11u) * 3u + 1u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/71d38690bcc7fc30f01f1c8fa2f13a38beff889fcb3ff387861bb70038e92129.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/71d38690bcc7fc30f01f1c8fa2f13a38beff889fcb3ff387861bb70038e92129.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..a53c6f1656ae08f4e2c239592dc559814e4bdee4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/71d38690bcc7fc30f01f1c8fa2f13a38beff889fcb3ff387861bb70038e92129.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 192u; +if (i >= 192u) { return; } +out[i] = i32(b0[(((i / 64u) % 3u) * 1u + 1u) * 64u + ((i / 64u) % 1u) * 64u + ((i / 1u) % 64u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/71da9dbcb10d6e1b374f1ffdf29339b2db415b37184000c86f71f97b1e44172e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/71da9dbcb10d6e1b374f1ffdf29339b2db415b37184000c86f71f97b1e44172e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..adf1fc4be8c718b6e70b77c5a1862dcbf817dcd7 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/71da9dbcb10d6e1b374f1ffdf29339b2db415b37184000c86f71f97b1e44172e.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 64>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 64u; + var acc: array, 4>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 4u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 64u && col < 2048u) { value = f32(f32(b0[(batch * 64u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 4096u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 4u; r++) { + let a_value = tile_a[local.y * 4u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 4u; r++) { + let out_row = tile_row + local.y * 4u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 64u && out_col < 4096u) { + let i = (batch * 64u + out_row) * 4096u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/720dc88131b6bf06e6b09185aa7d5986eb755dcfa60d0e040cbbf621c8f3f761.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/720dc88131b6bf06e6b09185aa7d5986eb755dcfa60d0e040cbbf621c8f3f761.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..77d2c6148b0bb0637e96ebb50a802068507c98e0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/720dc88131b6bf06e6b09185aa7d5986eb755dcfa60d0e040cbbf621c8f3f761.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 512u; +if (i >= 512u) { return; } +let coord = (i / 1u) % 256u; +if (coord >= 0u && coord < 64u) { out[i] = f32(b0[(i / 256u) * 64u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 64u && coord < 256u) { out[i] = f32(b1[(i / 256u) * 192u + (coord - 64u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/72474f821f837da4ebaab4cc925fdac78b707346be174a7c033c4c6518935abc.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/72474f821f837da4ebaab4cc925fdac78b707346be174a7c033c4c6518935abc.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5724c8466d198ca39894d20505ee5c1a65748333 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/72474f821f837da4ebaab4cc925fdac78b707346be174a7c033c4c6518935abc.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(b0[((i / 131072u) % 1u) * 131072u + ((i / 2048u) % 64u) * 128u + ((i / 128u) % 16u) * 8192u + ((i / 1u) % 128u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/733b8bc5515900a14d34b3939a10175d25a47b915dd9d016cbe2290ed99ae1f3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/733b8bc5515900a14d34b3939a10175d25a47b915dd9d016cbe2290ed99ae1f3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..6abfb7424e6b3d0131ab97ee69f4553601295d22 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/733b8bc5515900a14d34b3939a10175d25a47b915dd9d016cbe2290ed99ae1f3.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +var tile: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(local_invocation_id) local: vec3, @builtin(workgroup_id) group: vec3) { + let batch = group.z; + let input_row = group.y * 16u + local.y; + let input_col = group.x * 16u + local.x; + if (input_row < 64u && input_col < 6144u) { + tile[local.y][local.x] = f32(b0[batch * 393216u + input_row * 6144u + input_col]); + } + workgroupBarrier(); + let output_row = group.x * 16u + local.y; + let output_col = group.y * 16u + local.x; + if (output_row < 6144u && output_col < 64u) { out[batch * 393216u + output_row * 64u + output_col] = f32(tile[local.x][local.y]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/73b861456466f63d096073357cb34eb5f5819861a2961838b6590969f894fa95.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/73b861456466f63d096073357cb34eb5f5819861a2961838b6590969f894fa95.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0995f2ce93a8810f3254aea52a51e8c4ae81ab52 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/73b861456466f63d096073357cb34eb5f5819861a2961838b6590969f894fa95.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +out[i] = f32(f32(b0[i]) + (1e-06 * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/742db031d819fdf5a756f37e8e824e2dcb2ca3f30efac3ffbd5918181059ae3a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/742db031d819fdf5a756f37e8e824e2dcb2ca3f30efac3ffbd5918181059ae3a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0879520c73bf4f1395e8a15cc5874fa97dbecde1 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/742db031d819fdf5a756f37e8e824e2dcb2ca3f30efac3ffbd5918181059ae3a.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 262144u; +if (i >= 262144u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 16384u) % 16u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/752da00e33abf87b63eba03893a16e7db848f97f1385942d40d8cfb5122d9bd3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/752da00e33abf87b63eba03893a16e7db848f97f1385942d40d8cfb5122d9bd3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..1601c2f1c95920dd739e32da0111d879da60655e --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/752da00e33abf87b63eba03893a16e7db848f97f1385942d40d8cfb5122d9bd3.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 40u) { return; } +out[i] = f32(b0[((i / 40u) % 1u) * 128u + ((i / 10u) % 4u) * 32u + (((i / 1u) % 10u) * 3u + 2u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/764403c33cd8994568e068810380cb57e9f2e326dfc09bed63eed1fbed044da1.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/764403c33cd8994568e068810380cb57e9f2e326dfc09bed63eed1fbed044da1.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..4d0a0fe1c2ad2ca1647d571a4c09e923d06aee0e --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/764403c33cd8994568e068810380cb57e9f2e326dfc09bed63eed1fbed044da1.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +let x = f32(b0[i]); +out[i] = f32(cos(x)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/77f9becbd500abcaf6a8d278cbcb6c7031868ff5bf74f41284940d56894cf9fa.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/77f9becbd500abcaf6a8d278cbcb6c7031868ff5bf74f41284940d56894cf9fa.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c36ce90766882622ae62ab165611a02376cc4d8c --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/77f9becbd500abcaf6a8d278cbcb6c7031868ff5bf74f41284940d56894cf9fa.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 64u) { return; } +out[i] = f32(f32(b0[i]) + (f32(b1[((i / 1u) % 16u) * 1u]) * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7928d1b13d79c16f6c0f9d3130cbdb4193cab6efe3a60b38caa1039688fe56de.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7928d1b13d79c16f6c0f9d3130cbdb4193cab6efe3a60b38caa1039688fe56de.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..d569f2c70babe1c72d9fa65e789ae8c5bdd2f048 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7928d1b13d79c16f6c0f9d3130cbdb4193cab6efe3a60b38caa1039688fe56de.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 40u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/793acab25c53175e48dbfd1019e7c5f2bd0176d97e2134d7c290a66cfe702c34.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/793acab25c53175e48dbfd1019e7c5f2bd0176d97e2134d7c290a66cfe702c34.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..84ae648de9103180e548eb3ee4ab3414443a58b6 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/793acab25c53175e48dbfd1019e7c5f2bd0176d97e2134d7c290a66cfe702c34.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 2048u) % 16u) * 16u + ((i / 128u) % 16u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/793b4c977feaf93abb2f6e92796d4971ecf3176f10459317fb7a98b028007c01.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/793b4c977feaf93abb2f6e92796d4971ecf3176f10459317fb7a98b028007c01.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..99103af983de95f17fcf5da3f5d3989173f352d3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/793b4c977feaf93abb2f6e92796d4971ecf3176f10459317fb7a98b028007c01.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +out[i] = f32(f32(b0[i]) + (f32(b1[((i / 1u) % 16u) * 1u]) * 1.0)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/79ab685c48a01097e551291e8bb7ea554f69b07f6fd1494aaa829ddcb0eeb8d1.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/79ab685c48a01097e551291e8bb7ea554f69b07f6fd1494aaa829ddcb0eeb8d1.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..abe1e89b54b42418272a68dccd75fd7fbe236739 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/79ab685c48a01097e551291e8bb7ea554f69b07f6fd1494aaa829ddcb0eeb8d1.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 196608 || token >= 229376) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 196608) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7adea2b745b20a2abb96d02a1fca6db5f06f3c5aac850cf8ae1afa6f50868ded.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7adea2b745b20a2abb96d02a1fca6db5f06f3c5aac850cf8ae1afa6f50868ded.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..71689513a7927e5bc0cb73226d7067f7a4cab739 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7adea2b745b20a2abb96d02a1fca6db5f06f3c5aac850cf8ae1afa6f50868ded.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4096u; +if (i >= 4096u) { return; } +let x = f32(b0[i]); +out[i] = f32(cos(x)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7b7c42c04ea3c6695ddead641e88b82d8f130015e138fc323eec509b5b56cfa9.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7b7c42c04ea3c6695ddead641e88b82d8f130015e138fc323eec509b5b56cfa9.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..f6badaa4f9e340b199d7d36478143e82014ca9ca --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7b7c42c04ea3c6695ddead641e88b82d8f130015e138fc323eec509b5b56cfa9.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4096u; +if (i >= 4096u) { return; } +out[i] = f32(b0[((i / 4096u) % 1u) * 8192u + ((i / 2048u) % 2u) * 4096u + ((i / 32u) % 64u) * 64u + (((i / 1u) % 32u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7d527fa5ef43088cd93722e373f0781aa5ed7fe5b172ad4e26332b5cc3045747.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7d527fa5ef43088cd93722e373f0781aa5ed7fe5b172ad4e26332b5cc3045747.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2fae42f36aa2acbb88f26d4b0552f4044eeab14c --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7d527fa5ef43088cd93722e373f0781aa5ed7fe5b172ad4e26332b5cc3045747.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 16u && col < 2048u) { value = f32(f32(b0[(batch * 16u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 32768u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 16u && out_col < 32768u) { + let i = (batch * 16u + out_row) * 32768u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7ea4a12734f1206e9c94a060bf6b24732f46685f0c46a78c3c5fbcd64489d8c3.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7ea4a12734f1206e9c94a060bf6b24732f46685f0c46a78c3c5fbcd64489d8c3.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8e8a838dfb6ac9c617602bd0b2a35a31a9482fbd --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7ea4a12734f1206e9c94a060bf6b24732f46685f0c46a78c3c5fbcd64489d8c3.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1536u; +if (i >= 1536u) { return; } +out[i] = f32(b0[((i / 1536u) % 1u) * 2048u + ((i / 192u) % 8u) * 256u + ((i / 192u) % 1u) * 256u + (((i / 1u) % 192u) * 1u + 64u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7f684886a0c031e32c9cf7a4bff880ae692ddc08ddca971ee20d728b4736d0da.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7f684886a0c031e32c9cf7a4bff880ae692ddc08ddca971ee20d728b4736d0da.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2793e22a61404445c507c8e43861e8d94b977c7c --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7f684886a0c031e32c9cf7a4bff880ae692ddc08ddca971ee20d728b4736d0da.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(b0[((i / 32768u) % 1u) * 294912u + ((i / 2048u) % 16u) * 18432u + (((i / 128u) % 16u) * 1u + 128u) * 128u + ((i / 1u) % 128u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7fe183583b43b627721ba6853b306288d7ceea4b42b630410f47ea9637220a4b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7fe183583b43b627721ba6853b306288d7ceea4b42b630410f47ea9637220a4b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..afbf92723660dbb4d364ef0cbeaf40d4cdc4891a --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7fe183583b43b627721ba6853b306288d7ceea4b42b630410f47ea9637220a4b.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7fed7072c20dc3e66c80b2ac1f737b0e7e70a695e5db34e057f729c945e60ba0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7fed7072c20dc3e66c80b2ac1f737b0e7e70a695e5db34e057f729c945e60ba0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..e6d88d0a15c09579597059a1bdcb1e15f863aa03 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/7fed7072c20dc3e66c80b2ac1f737b0e7e70a695e5db34e057f729c945e60ba0.wgsl @@ -0,0 +1,21 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 67584u; +if (i >= 67584u) { return; } +let batch = i / 67584u; +let channel = (i / 11u) % 6144u; +let group = channel / 1u; +var acc = 0.0; +for (var c = 0u; c < 1u; c++) { + for (var p = 0u; p < 4u; p++) { + let pos0 = i32((i / 1u) % 11u) * 1 + i32((p / 1u) % 4u) * 1 - 3; + if (pos0 >= 0 && pos0 < 8) { acc += f32(b0[batch * 49152u + (group * 1u + c) * 8u + u32(pos0) * 1u]) * f32(b1[(channel * 1u + c) * 4u + p]); } + } +} +out[i] = f32(acc + 0.0); + +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/80d22263b082805bc9d4499247f92b7a1a783a3e1cdd9c652d304492a1cfd425.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/80d22263b082805bc9d4499247f92b7a1a783a3e1cdd9c652d304492a1cfd425.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..9111ceafdc9fd9e44bf84174c85d6fb3627ed1dc --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/80d22263b082805bc9d4499247f92b7a1a783a3e1cdd9c652d304492a1cfd425.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +out[i] = f32(b0[((i / 1024u) % 1u) * 2048u + ((i / 128u) % 8u) * 256u + ((i / 32u) % 4u) * 64u + (((i / 1u) % 32u) * 1u + 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/80ea575e71114223b547d927628fbb71c676d57d144193e995e6eb39c5b4c161.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/80ea575e71114223b547d927628fbb71c676d57d144193e995e6eb39c5b4c161.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2db7693b45bf5ab5b04ed46abd0a2d6c0877f8de --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/80ea575e71114223b547d927628fbb71c676d57d144193e995e6eb39c5b4c161.wgsl @@ -0,0 +1,25 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var partial: array; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let i = group.x + group.y * 512u; + if (i >= 512u) { return; } + let lane = local.x; + var acc = 0.0; + for (var p = lane; p < 2048u; p += 64u) { acc += f32(b0[(i / 512u) * 2048u + p]) * unpack_bf16_1((i % 512u) * 2048u + p); } + partial[lane] = acc; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + if (lane == 0u) { out[i] = f32(partial[0] + 0.0); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/816861e23c92e156c1ac01f21e4f6dd1cbfc14978b1be8a5994fb45b0f845cb8.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/816861e23c92e156c1ac01f21e4f6dd1cbfc14978b1be8a5994fb45b0f845cb8.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..fd8439ddeb258acd3ccd62679898c9ddc4222a6a --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/816861e23c92e156c1ac01f21e4f6dd1cbfc14978b1be8a5994fb45b0f845cb8.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let x = f32(b0[i]); +out[i] = f32(1.0 / (1.0 + exp(-x))); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8256ea6cdc3500306470c0bb2dcdb44ebdd454dafa218ad6a94dd953b9bbe125.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8256ea6cdc3500306470c0bb2dcdb44ebdd454dafa218ad6a94dd953b9bbe125.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8f492669f518dab2f9593bc47908384f13528421 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8256ea6cdc3500306470c0bb2dcdb44ebdd454dafa218ad6a94dd953b9bbe125.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 4096u; +if (i >= 4096u) { return; } +out[i] = f32(b0[((i / 4096u) % 1u) * 8192u + ((i / 512u) % 8u) * 1024u + ((i / 32u) % 16u) * 64u + (((i / 1u) % 32u) * 1u + 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/827ffce28b59c5790739e7f9624b4ef6ebf876973f7ba942702dd8872f47fcd5.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/827ffce28b59c5790739e7f9624b4ef6ebf876973f7ba942702dd8872f47fcd5.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c3b4bd3bde971e325a9fa9e70305b17851fa3dca --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/827ffce28b59c5790739e7f9624b4ef6ebf876973f7ba942702dd8872f47fcd5.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 417792u; +if (i >= 417792u) { return; } +let x = f32(b0[i]); +out[i] = f32(x / (1.0 + exp(-x))); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/82d700d77c249d637b7592f92c488497797a3961ea85b74ad2e50cccef3ef78f.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/82d700d77c249d637b7592f92c488497797a3961ea85b74ad2e50cccef3ef78f.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..f6253e4954ee69ce5aeefbeb74cb19a00eb2ffe1 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/82d700d77c249d637b7592f92c488497797a3961ea85b74ad2e50cccef3ef78f.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +let coord = (i / 1u) % 64u; +if (coord >= 0u && coord < 32u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32u && coord < 64u) { out[i] = f32(b1[(i / 64u) * 32u + (coord - 32u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84101fc314579b90d71da4cca3a2c2cdc2074d96d2861c4b8e38c22cc1903138.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84101fc314579b90d71da4cca3a2c2cdc2074d96d2861c4b8e38c22cc1903138.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..83350b9cd75974291ce80f1a5b1ab6c19754f7ea --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84101fc314579b90d71da4cca3a2c2cdc2074d96d2861c4b8e38c22cc1903138.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 6144u; +if (i >= 6144u) { return; } +out[i] = f32(b0[((i / 2048u) % 3u) * 2048u + ((i / 2048u) % 1u) * 2048u + ((i / 32u) % 64u) * 1u + ((i / 1u) % 32u) * 64u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8485c3edc4d8013903fedc22091c7530a69a97da8b3dbd0cc5c55f54220709fb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8485c3edc4d8013903fedc22091c7530a69a97da8b3dbd0cc5c55f54220709fb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..03fbfcf7852f6f66056d6914fe4f0a396e343e10 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8485c3edc4d8013903fedc22091c7530a69a97da8b3dbd0cc5c55f54220709fb.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 65536 || token >= 98304) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 65536) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84f24861effe9e2f3b05f98fe6d4e16f4f8204be40a7eeece0668e57060ecc7b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84f24861effe9e2f3b05f98fe6d4e16f4f8204be40a7eeece0668e57060ecc7b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b838db5172dc04dbd440a1315507258ee731b118 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84f24861effe9e2f3b05f98fe6d4e16f4f8204be40a7eeece0668e57060ecc7b.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(b0[((i / 32768u) % 1u) * 32768u + ((i / 2048u) % 16u) * 256u + ((i / 256u) % 8u) * 4096u + ((i / 1u) % 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84ff996d084cbc6b8dca21a8f3267cdb1f4c6b9664c24c3002252f05247c4212.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84ff996d084cbc6b8dca21a8f3267cdb1f4c6b9664c24c3002252f05247c4212.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..4b8f4a81af2551a5f68d4e7183fb44f770c4ce2b --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/84ff996d084cbc6b8dca21a8f3267cdb1f4c6b9664c24c3002252f05247c4212.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 49152u; +if (i >= 49152u) { return; } +out[i] = f32(b0[((i / 49152u) % 1u) * 67584u + ((i / 8u) % 6144u) * 11u + (((i / 1u) % 8u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/85964f8bbe5a2e4d430930e1050ea76871f0f2453c3cd4ba020002c0562ca680.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/85964f8bbe5a2e4d430930e1050ea76871f0f2453c3cd4ba020002c0562ca680.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8f4401a2be8eee2336c09ba4cc3feb59774b181a --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/85964f8bbe5a2e4d430930e1050ea76871f0f2453c3cd4ba020002c0562ca680.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let coord = (i / 1u) % 64u; +if (coord >= 0u && coord < 32u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32u && coord < 64u) { out[i] = f32(b1[(i / 64u) * 32u + (coord - 32u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/870f571c2825eaa5aa7203a42631ed44e533c50f236974cb4591aa3c73b231a6.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/870f571c2825eaa5aa7203a42631ed44e533c50f236974cb4591aa3c73b231a6.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..39541e77623e367ad5f2dba84b9ea8cf810cb1ee --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/870f571c2825eaa5aa7203a42631ed44e533c50f236974cb4591aa3c73b231a6.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +let x = f32(b0[i]); let s = f32(f32(x / (1.0 + exp(-x)))); +out[i] = f32(s * f32(b1[i])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/892b773325e143ad086ac3f3475f04c606f781b0ea3261a7168d28e3bdf24b49.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/892b773325e143ad086ac3f3475f04c606f781b0ea3261a7168d28e3bdf24b49.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ea5ffc86b925d7b1048789f1a1fd31a66b8f25b0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/892b773325e143ad086ac3f3475f04c606f781b0ea3261a7168d28e3bdf24b49.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 163840 || token >= 196608) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 163840) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/896006749045a93d89dca7ed7326aa05c5ff29423400569d34ab2256dea6b0e4.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/896006749045a93d89dca7ed7326aa05c5ff29423400569d34ab2256dea6b0e4.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..153b27098a91332adc33e93c50826711f884ea94 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/896006749045a93d89dca7ed7326aa05c5ff29423400569d34ab2256dea6b0e4.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 128u) { return; } +out[i] = f32(f32(b0[i]) * f32(b1[((i / 1u) % 64u) * 1u])); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/898086c99e03b2cdb78e3e5658c3fff202f1c87d09d8da08659bd1ba85e01b09.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/898086c99e03b2cdb78e3e5658c3fff202f1c87d09d8da08659bd1ba85e01b09.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b5f7727d651290008885c57d7eb3d4d47da40e0d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/898086c99e03b2cdb78e3e5658c3fff202f1c87d09d8da08659bd1ba85e01b09.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 512u; +if (i >= 512u) { return; } +let coord = (i / 1u) % 64u; +if (coord >= 0u && coord < 32u) { out[i] = f32(b0[(i / 64u) * 32u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 32u && coord < 64u) { out[i] = f32(b1[(i / 64u) * 32u + (coord - 32u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/89f98b79c18e7f4bbbd79cbd8d3e80108d0e1e4407c161d9637b6a88d3fbe06b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/89f98b79c18e7f4bbbd79cbd8d3e80108d0e1e4407c161d9637b6a88d3fbe06b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..cec2de8e203bef278c3c8e0eb2c7a08106ae1575 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/89f98b79c18e7f4bbbd79cbd8d3e80108d0e1e4407c161d9637b6a88d3fbe06b.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +out[i] = f32(b0[((i / 8192u) % 1u) * 32768u + ((i / 4096u) % 2u) * 16384u + ((i / 64u) % 64u) * 256u + (((i / 1u) % 64u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8a46c4e24d014fd6af88a3f370c4b6161be7c63b6c30211bd62af3dbd87293a8.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8a46c4e24d014fd6af88a3f370c4b6161be7c63b6c30211bd62af3dbd87293a8.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..879d6b86b22a39f635c45604888a324389324c38 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8a46c4e24d014fd6af88a3f370c4b6161be7c63b6c30211bd62af3dbd87293a8.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +out[i] = f32(b0[((i / 256u) % 1u) * 512u + ((i / 32u) % 8u) * 64u + ((i / 32u) % 1u) * 64u + (((i / 1u) % 32u) * 1u + 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8af32f59dfb78c79ac2187ae707f0897b89fb8bb0e3d832e2edac308eefa603c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8af32f59dfb78c79ac2187ae707f0897b89fb8bb0e3d832e2edac308eefa603c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..393e545d035b3c735b85081828588efa2083e5b8 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8af32f59dfb78c79ac2187ae707f0897b89fb8bb0e3d832e2edac308eefa603c.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1536u; +if (i >= 1536u) { return; } +out[i] = f32(b0[((i / 1536u) % 1u) * 2048u + ((i / 768u) % 2u) * 1024u + ((i / 192u) % 4u) * 256u + (((i / 1u) % 192u) * 1u + 64u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8affc7c0e85127430e406be35ebb5c5354a8dd26ecc4ae9ab6ace80ce6775f46.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8affc7c0e85127430e406be35ebb5c5354a8dd26ecc4ae9ab6ace80ce6775f46.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..f6d4d57d5129f06a73030d35c57119eff88a6513 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8affc7c0e85127430e406be35ebb5c5354a8dd26ecc4ae9ab6ace80ce6775f46.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +let coord = (i / 1u) % 256u; +if (coord >= 0u && coord < 64u) { out[i] = f32(b0[(i / 256u) * 64u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 64u && coord < 256u) { out[i] = f32(b1[(i / 256u) * 192u + (coord - 64u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8b5e4c9b7889f2bccebf60987b6f5b8c23542c3475cd8d78656dc7ecffd81f8d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8b5e4c9b7889f2bccebf60987b6f5b8c23542c3475cd8d78656dc7ecffd81f8d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..06d3a0be331bebf0bb3a5e2fbcaa41fd764e10ce --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8b5e4c9b7889f2bccebf60987b6f5b8c23542c3475cd8d78656dc7ecffd81f8d.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +out[i] = f32(b0[((i / 2048u) % 1u) * 8192u + ((i / 256u) % 8u) * 1024u + ((i / 64u) % 4u) * 256u + (((i / 1u) % 64u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8b97708bbec8da40b4b2929ace03c7f08893a30f49652efa7487c745e71be9bb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8b97708bbec8da40b4b2929ace03c7f08893a30f49652efa7487c745e71be9bb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5886e15847ef901b20c39bf44cc0ef897935b5c9 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8b97708bbec8da40b4b2929ace03c7f08893a30f49652efa7487c745e71be9bb.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 64>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 64u; + var acc: array, 4>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 4u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 64u && col < 2048u) { value = f32(f32(b0[(batch * 64u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 16u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 4u; r++) { + let a_value = tile_a[local.y * 4u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 4u; r++) { + let out_row = tile_row + local.y * 4u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 64u && out_col < 16u) { + let i = (batch * 64u + out_row) * 16u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c2cc45aff0682e734174141c9fcc5edcdac7925ad6128b062befdba21f8695f.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c2cc45aff0682e734174141c9fcc5edcdac7925ad6128b062befdba21f8695f.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..de8c2b01add8ed4522e2cbf58e7f08b03967f1ed --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c2cc45aff0682e734174141c9fcc5edcdac7925ad6128b062befdba21f8695f.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 122880u; +if (i >= 122880u) { return; } +out[i] = f32(b0[((i / 122880u) % 1u) * 141312u + ((i / 20u) % 6144u) * 23u + (((i / 1u) % 20u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c3a77238461b0ae13318bad504e1e0779f3f47d1782fe0ca78f20112c031146.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c3a77238461b0ae13318bad504e1e0779f3f47d1782fe0ca78f20112c031146.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..48bca17aba702ff30048b53673eee423547fd053 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c3a77238461b0ae13318bad504e1e0779f3f47d1782fe0ca78f20112c031146.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +out[i] = f32(b0[((i / 256u) % 1u) * 512u + ((i / 128u) % 2u) * 256u + ((i / 32u) % 4u) * 64u + (((i / 1u) % 32u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c92c6f1421c6378452dd1e15eae6d7da76404ac7e9a0b756bace66e6f207d21.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c92c6f1421c6378452dd1e15eae6d7da76404ac7e9a0b756bace66e6f207d21.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3120a16a5ed9e9bba8b6482fa4ae14b95803e24d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8c92c6f1421c6378452dd1e15eae6d7da76404ac7e9a0b756bace66e6f207d21.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 98304u; +if (i >= 98304u) { return; } +out[i] = f32(b0[((i / 98304u) % 1u) * 122880u + ((i / 16u) % 6144u) * 20u + (((i / 1u) % 16u) * 1u + 4u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8cce7bfa491959f6a7b62ae9cb861d12e2f4ff05227918a4d06bd80669f0a539.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8cce7bfa491959f6a7b62ae9cb861d12e2f4ff05227918a4d06bd80669f0a539.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..afdc69dc467b8f7f632ffe33bddaf90b521e8362 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8cce7bfa491959f6a7b62ae9cb861d12e2f4ff05227918a4d06bd80669f0a539.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 128u) { return; } +out[i] = f32(b0[1u * 128u + ((i / 128u) % 1u) * 128u + ((i / 32u) % 4u) * 32u + ((i / 1u) % 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d0a37e497bcb37e2d5a1746fba59fd69680ed8eeada4835c5d0eeef840d57ab.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d0a37e497bcb37e2d5a1746fba59fd69680ed8eeada4835c5d0eeef840d57ab.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..8a01c2daa51364f3125cbebcab9dbf7871446a9a --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d0a37e497bcb37e2d5a1746fba59fd69680ed8eeada4835c5d0eeef840d57ab.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 16u) { return; } +let x = f32(b0[i]); +out[i] = f32(-x); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d2d4993e8058293c7308e58f517619651bbfcfc855acd7e3f5a8cfdfd971dab.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d2d4993e8058293c7308e58f517619651bbfcfc855acd7e3f5a8cfdfd971dab.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3ed04ba7933e584bd12c87751a81db68eb41af8d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d2d4993e8058293c7308e58f517619651bbfcfc855acd7e3f5a8cfdfd971dab.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +let x = f32(b0[i]); +out[i] = f32(1.0 / (1.0 + exp(-x))); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d62df48089497dd19fea48680730210decda42b63f69ecdf9688fc4a43efc58.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d62df48089497dd19fea48680730210decda42b63f69ecdf9688fc4a43efc58.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..038f09f18992b3725fd5517a3706736493dfe3b5 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d62df48089497dd19fea48680730210decda42b63f69ecdf9688fc4a43efc58.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 24576u; +if (i >= 24576u) { return; } +out[i] = f32(b0[((i / 24576u) % 1u) * 32768u + ((i / 3072u) % 8u) * 4096u + ((i / 192u) % 16u) * 256u + (((i / 1u) % 192u) * 1u + 64u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d924efe3620ed999f0cf4e6adc1df91b7def10b99b5ecb839ceaa662b43c82c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d924efe3620ed999f0cf4e6adc1df91b7def10b99b5ecb839ceaa662b43c82c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..fe8bfc87f8c17b979d4a5ead82a54af189440ac0 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8d924efe3620ed999f0cf4e6adc1df91b7def10b99b5ecb839ceaa662b43c82c.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 256u; +if (i >= 256u) { return; } +var acc = 0.0; +for (var j = 0u; j < 128u; j++) { acc += f32(b0[(((i / 256u) % 1u) * 32768u + ((i / 16u) % 16u) * 2048u + ((i / 1u) % 16u) * 128u) + (((j / 1u) % 128u) * 1u)]); } +out[i] = f32(acc); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8e3d3b82b0e50fa7a86f44f30fe70b1ee226e613ce06b69776f5624efb029235.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8e3d3b82b0e50fa7a86f44f30fe70b1ee226e613ce06b69776f5624efb029235.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..b336d4ef7da9ca1218d2e0bdb97251d2aaeb4513 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8e3d3b82b0e50fa7a86f44f30fe70b1ee226e613ce06b69776f5624efb029235.wgsl @@ -0,0 +1,24 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +var factor: f32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let row = group.x + group.y * 16u; + if (row >= 16u) { return; } + let lane = local.x; + if (lane == 0u) { + var total = 0.0; + for (var j = 0u; j < 2048u; j++) { + let v = f32(b0[row * 2048u + j]); + total += v * v; + } + factor = inverseSqrt(total / 2048.0 + 1e-06); + } + workgroupBarrier(); + for (var p = lane; p < 2048u; p += 64u) { + let i = row * 2048u + p; + out[i] = f32(f32(b0[row * 2048u + p]) * factor * (f32(b1[p]) + 1.0)); + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8ee286e06c1271162bea74e14b4bd5b1d66890648217c79435e6b3f1d4181ec8.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8ee286e06c1271162bea74e14b4bd5b1d66890648217c79435e6b3f1d4181ec8.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..de988e579ac17256458e6a635d4588a6072950e3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/8ee286e06c1271162bea74e14b4bd5b1d66890648217c79435e6b3f1d4181ec8.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +out[i] = f32(b0[((i / 1024u) % 1u) * 2048u + ((i / 128u) % 8u) * 256u + ((i / 32u) % 4u) * 64u + (((i / 1u) % 32u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9044193f1f4724f15ef5fb41040b7fbac5f62fcaea80594737214bf9cd6be41a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9044193f1f4724f15ef5fb41040b7fbac5f62fcaea80594737214bf9cd6be41a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2e5bc79c78a2b4d66f36a9281f11690ec86715e4 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9044193f1f4724f15ef5fb41040b7fbac5f62fcaea80594737214bf9cd6be41a.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(b0[((i / 131072u) % 1u) * 262144u + ((i / 2048u) % 64u) * 4096u + ((i / 256u) % 8u) * 512u + (((i / 1u) % 256u) * 1u + 256u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9144d827dae4c52b80abb829178a9ed901ce5dbc6702ad94b0b355e8eaad5ea5.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9144d827dae4c52b80abb829178a9ed901ce5dbc6702ad94b0b355e8eaad5ea5.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0e196cbf9c5f57d582e8784874efe3d9797e27fe --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9144d827dae4c52b80abb829178a9ed901ce5dbc6702ad94b0b355e8eaad5ea5.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 32u) { return; } +let coord = (i / 1u) % 32u; +if (coord >= 2u && coord < 32u && (coord - 2u) % 3u == 0u) { out[i] = f32(b0[((i / 32u) % 1u) * 10u + ((i / 32u) % 1u) * 10u + ((((i / 1u) % 32u) - 2u) / 3u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/928e4759658bc5813ad5b82855d1a8c13e144cdfe50229dfc10b0624d7490858.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/928e4759658bc5813ad5b82855d1a8c13e144cdfe50229dfc10b0624d7490858.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0ac306227a2d2906504dd1b01e28be580c908878 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/928e4759658bc5813ad5b82855d1a8c13e144cdfe50229dfc10b0624d7490858.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let coord = (i / 1u) % 256u; +if (coord >= 0u && coord < 64u) { out[i] = f32(b0[(i / 256u) * 64u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 64u && coord < 256u) { out[i] = f32(b1[(i / 256u) * 192u + (coord - 64u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/92cf367653104b855673f6ff91c2ddd69810816736c6be6b48bf2ae78d5bc16e.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/92cf367653104b855673f6ff91c2ddd69810816736c6be6b48bf2ae78d5bc16e.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..730197dbc709f724707f01a9a8307173a797e316 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/92cf367653104b855673f6ff91c2ddd69810816736c6be6b48bf2ae78d5bc16e.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 64>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 64u; + var acc: array, 4>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 4u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 64u && col < 2048u) { value = f32(f32(b0[(batch * 64u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 32768u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 4u; r++) { + let a_value = tile_a[local.y * 4u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 4u; r++) { + let out_row = tile_row + local.y * 4u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 64u && out_col < 32768u) { + let i = (batch * 64u + out_row) * 32768u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/939eb5e3ec5862e0f1d8caec99b814ed6b2bb3a41a132f7149a503e8df582e3c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/939eb5e3ec5862e0f1d8caec99b814ed6b2bb3a41a132f7149a503e8df582e3c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..3781d841daf679d470aa9b14d0cf4771d03af034 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/939eb5e3ec5862e0f1d8caec99b814ed6b2bb3a41a132f7149a503e8df582e3c.wgsl @@ -0,0 +1,13 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { + let i = gid.x + gid.y * 2048u; + if (i >= 2048u) { return; } + let token = (i / 256u) % 4u; + let outer = i / 1024u; + let destination = outer * 1048576u + u32(b1[token]) * 256u + i % 256u; + out[((destination) / 256u) % 4096u * 512u + ((destination) / 1048576u) % 2u * 256u + ((destination) / 1u) % 256u * 1u] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/95a7af5c5db9c9349d53a84534fdbd7783cd428093b21524639ab6dc62f54867.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/95a7af5c5db9c9349d53a84534fdbd7783cd428093b21524639ab6dc62f54867.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..552361005c1ad32baced16835b5ad0632d66fe84 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/95a7af5c5db9c9349d53a84534fdbd7783cd428093b21524639ab6dc62f54867.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 4u && col < 2048u) { value = f32(f32(b0[(batch * 4u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 2048u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 4u && out_col < 2048u) { + let i = (batch * 4u + out_row) * 2048u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/95cba13b595301afbefe20da4a65b93d4d5c5f4a29b9e1d5348d32cb193c6b4b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/95cba13b595301afbefe20da4a65b93d4d5c5f4a29b9e1d5348d32cb193c6b4b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..9c868b10c7c34316c00e41b14857af7bbfe43f60 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/95cba13b595301afbefe20da4a65b93d4d5c5f4a29b9e1d5348d32cb193c6b4b.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 128u; +if (i >= 128u) { return; } +out[i] = f32(b0[0u * 128u + ((i / 128u) % 1u) * 128u + ((i / 32u) % 4u) * 32u + ((i / 1u) % 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9625ca0b071511e5261877fd21627ca354ea0219da86a10887e8054afa15dcfd.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9625ca0b071511e5261877fd21627ca354ea0219da86a10887e8054afa15dcfd.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..e1f0cf834667ef3ff29080e64d8f9d08e6702c3e --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9625ca0b071511e5261877fd21627ca354ea0219da86a10887e8054afa15dcfd.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 32u) { return; } +out[i] = f32(b0[1u * 32u + ((i / 32u) % 1u) * 32u + ((i / 32u) % 1u) * 32u + ((i / 1u) % 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9701df2bcd72ed6a0b72dca81006d9fcc2336e0250fbd66cf37d4fd80667358f.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9701df2bcd72ed6a0b72dca81006d9fcc2336e0250fbd66cf37d4fd80667358f.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..df4a7b88d0870688be525898c6a657b189a070df --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9701df2bcd72ed6a0b72dca81006d9fcc2336e0250fbd66cf37d4fd80667358f.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +out[i] = f32(b0[((i / 131072u) % 1u) * 393216u + ((i / 8192u) % 16u) * 24576u + (((i / 128u) % 64u) * 1u + 128u) * 128u + ((i / 1u) % 128u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/970aa8fd65c7e96611a4b6f30cb0b71e24bdaefff0ca117243cab1a5a7e645a9.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/970aa8fd65c7e96611a4b6f30cb0b71e24bdaefff0ca117243cab1a5a7e645a9.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..2f5b9119322f5487af9c8b2b5da3f2cf33a3c6a2 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/970aa8fd65c7e96611a4b6f30cb0b71e24bdaefff0ca117243cab1a5a7e645a9.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 48u) { return; } +out[i] = f32(b0[i]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/97aa9b5cb2a41dbf920a6c15c61964d33dd0d87990a00183ac4b87c614bc376d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/97aa9b5cb2a41dbf920a6c15c61964d33dd0d87990a00183ac4b87c614bc376d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..002611dac2216301bcefb788edbf31a49a191700 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/97aa9b5cb2a41dbf920a6c15c61964d33dd0d87990a00183ac4b87c614bc376d.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 8192u; +if (i >= 8192u) { return; } +let coord = (i / 1u) % 256u; +if (coord >= 0u && coord < 64u) { out[i] = f32(b0[(i / 256u) * 64u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 64u && coord < 256u) { out[i] = f32(b1[(i / 256u) * 192u + (coord - 64u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/985bb9ad33654b9adbd4a256d626e346556a10dad514692800da8ebd7910f0f0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/985bb9ad33654b9adbd4a256d626e346556a10dad514692800da8ebd7910f0f0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..9018c3fdbf086b98282a94876e8a6631eb5442af --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/985bb9ad33654b9adbd4a256d626e346556a10dad514692800da8ebd7910f0f0.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 3u) { return; } +out[i] = i32(b0[(((i / 1u) % 3u) * 1u + 1u) * 1u + ((i / 1u) % 1u) * 1u + ((i / 1u) % 1u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/987d27946334b53b3006cdca1a7158b13a27e01e688047aeafc4b029761b80af.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/987d27946334b53b3006cdca1a7158b13a27e01e688047aeafc4b029761b80af.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..6f5a0294909820e1048e6c135334639bd4ca22df --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/987d27946334b53b3006cdca1a7158b13a27e01e688047aeafc4b029761b80af.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 24576u; +if (i >= 24576u) { return; } +out[i] = f32(b0[((i / 24576u) % 1u) * 49152u + ((i / 4u) % 6144u) * 8u + (((i / 1u) % 4u) * 1u + 4u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/99e423f03f9fdfee41f3dcaab73257064ffb2a64110066752208324724505a8b.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/99e423f03f9fdfee41f3dcaab73257064ffb2a64110066752208324724505a8b.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..6f17903f98ea03f7ed94043a81020110ebe8f203 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/99e423f03f9fdfee41f3dcaab73257064ffb2a64110066752208324724505a8b.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 24576u; +if (i >= 24576u) { return; } +out[i] = f32(b0[((i / 24576u) % 1u) * 122880u + ((i / 4u) % 6144u) * 20u + (((i / 1u) % 4u) * 1u + 16u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9b3f904de84bf22ceae457a60f075edb0bd86d6ea7de978a2ae39b00d4e2b522.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9b3f904de84bf22ceae457a60f075edb0bd86d6ea7de978a2ae39b00d4e2b522.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..75042ffe440fc1e2657d023d3a43703c3d3ac06d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9b3f904de84bf22ceae457a60f075edb0bd86d6ea7de978a2ae39b00d4e2b522.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 16u && col < 2048u) { value = f32(f32(b0[(batch * 16u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 18944u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 16u && out_col < 18944u) { + let i = (batch * 16u + out_row) * 18944u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9b7697d3e1de37277befbd725307f40a5143faae3dcf43182d4ad89d8572ed42.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9b7697d3e1de37277befbd725307f40a5143faae3dcf43182d4ad89d8572ed42.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ede227a38b1e2608dc62d7a93b0d68ad2fb653fb --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9b7697d3e1de37277befbd725307f40a5143faae3dcf43182d4ad89d8572ed42.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +out[i] = f32(f32(b0[i]) * 1.0); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9c8130a4d2f0fee478cb03a285f985c7783f34603a018675e6b22e28bbae0abb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9c8130a4d2f0fee478cb03a285f985c7783f34603a018675e6b22e28bbae0abb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..37eb71c13c070814f9a883e3d10c6ab73f7b13c9 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9c8130a4d2f0fee478cb03a285f985c7783f34603a018675e6b22e28bbae0abb.wgsl @@ -0,0 +1,59 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +var tile_a: array, 16>; +var tile_b: array, 16>; +@compute @workgroup_size(16, 16) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.y * 16u + local.x; + let batch = group.z; + let tile_n = group.x * 64u; + let tile_row = group.y * 16u; + var acc: array, 1>; + for (var k0 = 0u; k0 < 2048u; k0 += 16u) { + for (var e = 0u; e < 1u; e++) { + let flat = lane + e * 256u; + let m_local = flat / 16u; + let row = tile_row + m_local; + let col = k0 + flat % 16u; + var value = 0.0; + if (row < 4u && col < 2048u) { value = f32(f32(b0[(batch * 4u + row) * 2048u + col])); } + tile_a[m_local][flat % 16u] = value; + } + for (var e = 0u; e < 4u; e++) { + let n_local = lane / 4u; + let k_local = (lane % 4u) * 4u + e; + let n_index = tile_n + n_local; + let col = k0 + k_local; + var value = 0.0; + if (n_index < 512u && col < 2048u) { value = f32(unpack_bf16_1(n_index * 2048u + col)); } + tile_b[k_local][n_local] = value; + } + workgroupBarrier(); + for (var kk = 0u; kk < 16u; kk++) { + var b_values: array; + for (var c = 0u; c < 4u; c++) { b_values[c] = tile_b[kk][local.x * 4u + c]; } + for (var r = 0u; r < 1u; r++) { + let a_value = tile_a[local.y * 1u + r][kk]; + for (var c = 0u; c < 4u; c++) { acc[r][c] += a_value * b_values[c]; } + } + } + workgroupBarrier(); + } + for (var r = 0u; r < 1u; r++) { + let out_row = tile_row + local.y * 1u + r; + for (var c = 0u; c < 4u; c++) { + let out_col = tile_n + local.x * 4u + c; + if (out_row < 4u && out_col < 512u) { + let i = (batch * 4u + out_row) * 512u + out_col; + out[i] = f32(acc[r][c] + 0.0); + } + } + } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9cd8236a30e65989f2ed9c7afcfcf2369b6036ade2a7d81c8e203c2789178074.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9cd8236a30e65989f2ed9c7afcfcf2369b6036ade2a7d81c8e203c2789178074.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..e2476989d2a095c8f6a2ba2e76b53b82c3749282 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9cd8236a30e65989f2ed9c7afcfcf2369b6036ade2a7d81c8e203c2789178074.wgsl @@ -0,0 +1,12 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 417792u; +if (i >= 417792u) { return; } +let coord = (i / 1u) % 68u; +if (coord >= 0u && coord < 4u) { out[i] = f32(b0[(i / 68u) * 4u + (coord - 0u) * 1u + i % 1u]); } +if (coord >= 4u && coord < 68u) { out[i] = f32(b1[(i / 68u) * 64u + (coord - 4u) * 1u + i % 1u]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d12ba7fd89692e99bb291808c5a80ffd5b95478671dde2c936fc3deb8383fa0.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d12ba7fd89692e99bb291808c5a80ffd5b95478671dde2c936fc3deb8383fa0.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..c743049812f0cdac4cac58f95aedc18a7838dbae --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d12ba7fd89692e99bb291808c5a80ffd5b95478671dde2c936fc3deb8383fa0.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 1024u; +if (i >= 1024u) { return; } +let x = f32(b0[i]); +if (x * 1.0 > 20.0) { out[i] = f32(x); return; } +out[i] = f32(log(1.0 + exp(x * 1.0)) / 1.0); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d3d7b777701cd320ca11358e554e1019fb041ee4d765e66071c215242906773.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d3d7b777701cd320ca11358e554e1019fb041ee4d765e66071c215242906773.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..433c8d99687959f0d2fba22eeee39545cf88e8ca --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d3d7b777701cd320ca11358e554e1019fb041ee4d765e66071c215242906773.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(b0[((i / 32768u) % 1u) * 65536u + ((i / 2048u) % 16u) * 4096u + ((i / 256u) % 8u) * 512u + (((i / 1u) % 256u) * 1u + 0u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d504391a987c7be7ccfbb7972c27cf54cd62730c19cbe7949fee2ea059f0c43.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d504391a987c7be7ccfbb7972c27cf54cd62730c19cbe7949fee2ea059f0c43.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..90bdc06efe0122917f683fbb8817bcab407c17a3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9d504391a987c7be7ccfbb7972c27cf54cd62730c19cbe7949fee2ea059f0c43.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 122880u; +if (i >= 122880u) { return; } +let x = f32(b0[i]); +out[i] = f32(x / (1.0 + exp(-x))); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9f040facf0594804dba5b0f10f53b11b7223a1e1705896f95a8f95aa0fff5eec.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9f040facf0594804dba5b0f10f53b11b7223a1e1705896f95a8f95aa0fff5eec.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..31bd75024f015a30070af10901b1b0aa5f0a0a89 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/9f040facf0594804dba5b0f10f53b11b7223a1e1705896f95a8f95aa0fff5eec.wgsl @@ -0,0 +1,11 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 2048u; +if (i >= 2048u) { return; } +let coord = (i / 1u) % 32u; +if (coord >= 1u && coord < 34u && (coord - 1u) % 3u == 0u) { out[i] = f32(b0[((i / 2048u) % 1u) * 704u + ((i / 32u) % 64u) * 11u + ((((i / 1u) % 32u) - 1u) / 3u) * 1u]); } else { out[i] = f32(b1[i]); } +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a16a539c1a662c846d6c661e572b0b8e19335f9ef41742f784d738bcfd3cd7a6.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a16a539c1a662c846d6c661e572b0b8e19335f9ef41742f784d738bcfd3cd7a6.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..870c26ddb7eaf8dd8335f56cb6a8270f187dcb59 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a16a539c1a662c846d6c661e572b0b8e19335f9ef41742f784d738bcfd3cd7a6.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 393216u; +if (i >= 393216u) { return; } +out[i] = f32(b0[((i / 393216u) % 1u) * 417792u + ((i / 64u) % 6144u) * 68u + (((i / 1u) % 64u) * 1u + 4u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a1a974f6d8d51fd7c3496ede0966af303ad9f0c0c9ee44cf93ec962d2b0e87e1.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a1a974f6d8d51fd7c3496ede0966af303ad9f0c0c9ee44cf93ec962d2b0e87e1.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..12d890f4a402b0675a5fd2b6d98f661c3f315dd5 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a1a974f6d8d51fd7c3496ede0966af303ad9f0c0c9ee44cf93ec962d2b0e87e1.wgsl @@ -0,0 +1,10 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 64u; +if (i >= 64u) { return; } +let x = f32(b0[i]); +out[i] = f32(-x); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a1cf6b03baf18d389f0a2b95440c17125a8ecc1e633568de985d42cac6e0d1cb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a1cf6b03baf18d389f0a2b95440c17125a8ecc1e633568de985d42cac6e0d1cb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..bef42a5c9cf3a75556610ba3eee2eac25cf19401 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a1cf6b03baf18d389f0a2b95440c17125a8ecc1e633568de985d42cac6e0d1cb.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 512u; +if (i >= 512u) { return; } +out[i] = f32(b0[1u * 512u + ((i / 512u) % 1u) * 512u + ((i / 32u) % 16u) * 32u + ((i / 1u) % 32u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a21c6a35532bc26ccfc46df22f98e1592e3b285e3800544c032edf39425bde1a.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a21c6a35532bc26ccfc46df22f98e1592e3b285e3800544c032edf39425bde1a.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..58181f1b0116d2180192b51cc8e05ae53f00587d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a21c6a35532bc26ccfc46df22f98e1592e3b285e3800544c032edf39425bde1a.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 98304u; +if (i >= 98304u) { return; } +out[i] = f32(b0[((i / 98304u) % 1u) * 98304u + ((i / 16u) % 6144u) * 1u + ((i / 1u) % 16u) * 6144u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a21dc37cea5d4adc26465d78d5491b794129ded665b3b3c014438c11519a837c.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a21dc37cea5d4adc26465d78d5491b794129ded665b3b3c014438c11519a837c.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..91e42f4325c36d11aee7518783be2351cb80037d --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a21dc37cea5d4adc26465d78d5491b794129ded665b3b3c014438c11519a837c.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 131072u; +if (i >= 131072u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 196608 || token >= 229376) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 196608) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a24673da4fae6d1c49aa143f8425996b2d036db7b0341987dab330c78ead91d7.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a24673da4fae6d1c49aa143f8425996b2d036db7b0341987dab330c78ead91d7.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..5466706ae8a51fb919a0c6e3bdc851986df7c3b3 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a24673da4fae6d1c49aa143f8425996b2d036db7b0341987dab330c78ead91d7.wgsl @@ -0,0 +1,9 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var out: array; + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +out[i] = f32(b0[((i / 32768u) % 1u) * 98304u + ((i / 2048u) % 16u) * 6144u + (((i / 1u) % 2048u) * 1u + 4096u) * 1u]); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a26ccdf9414d63e640b21dbfb8191252a532ad248ad8a975bf64438d6c861edb.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a26ccdf9414d63e640b21dbfb8191252a532ad248ad8a975bf64438d6c861edb.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..0fc6e673512b1623bed3f2d93e89c5c49f8efdc9 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a26ccdf9414d63e640b21dbfb8191252a532ad248ad8a975bf64438d6c861edb.wgsl @@ -0,0 +1,17 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var out: array; +fn unpack_bf16_1(index: u32) -> f32 { + let pair = b1[index / 2u]; + let bits = (pair >> ((index % 2u) * 16u)) & 65535u; + return bitcast(bits << 16u); +} + +@compute @workgroup_size(64) +fn main(@builtin(global_invocation_id) gid: vec3) { +let i = gid.x + gid.y * 32768u; +if (i >= 32768u) { return; } +let token = i32(b0[i / 2048u]); +if (token < 0 || token >= 32768) { out[i] = f32(0.0); return; } +out[i] = f32(unpack_bf16_1(u32(token - 0) * 2048u + i % 2048u)); +} diff --git a/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a278009bfad4d5fb3e44fe3dd3866517a4143ee6da790d52aa62a69eeda0885d.wgsl b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a278009bfad4d5fb3e44fe3dd3866517a4143ee6da790d52aa62a69eeda0885d.wgsl new file mode 100644 index 0000000000000000000000000000000000000000..ec10cb7b9850a3b53f27ed3d00110e7623b1e874 --- /dev/null +++ b/qwen35-2b-multimodal-fp32-three-grid-state-alias-token-major-v2-v5/kernels/a278009bfad4d5fb3e44fe3dd3866517a4143ee6da790d52aa62a69eeda0885d.wgsl @@ -0,0 +1,96 @@ +@group(0) @binding(0) var b0: array; +@group(0) @binding(1) var b1: array; +@group(0) @binding(2) var b2: array; +@group(0) @binding(3) var b3: array; +@group(0) @binding(4) var out: array; + +var q_row: array; +var scores: array; +var partial: array; +var limit_shared: u32; +@compute @workgroup_size(64) +fn main(@builtin(workgroup_id) group: vec3, @builtin(local_invocation_id) local: vec3) { + let lane = local.x; + let head = group.x / 1u; + let row = group.x % 1u; + let kv_head = head / 4u; + for (var d = lane; d < 256u; d += 64u) { q_row[d] = f32(b0[(head * 1u + row) * 256u + d]); } + // Bound the key loop by the last unmasked position so work follows the used context. + var last = 0.0; + for (var j = lane; j < 4096u; j += 64u) { + if (f32(b3[row * 4096u + j]) > -1000.0) { last = max(last, f32(j + 1u)); } + } + partial[lane] = last; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] = max(partial[lane], partial[lane + stride]); } + workgroupBarrier(); + } + if (lane == 0u) { limit_shared = u32(partial[0]); } + let limit = workgroupUniformLoad(&limit_shared); + var running_max = -3.4028234663852886e38; + var running_sum = 0.0; + var acc: array; + for (var start = 0u; start < limit; start += 1024u) { + let count = min(1024u, limit - start); + var tile_max = -3.4028234663852886e38; + for (var t = lane; t < count; t += 64u) { + let j = start + t; + var score = -3.4028234663852886e38; + if (f32(b3[row * 4096u + j]) > -1000.0) { + var dot = 0.0; + for (var d = 0u; d < 256u; d++) { dot += q_row[d] * f32(b1[(((kv_head * 4096u + j) * 256u + d) / 256u) % 4096u * 512u + (((kv_head * 4096u + j) * 256u + d) / 1048576u) % 2u * 256u + (((kv_head * 4096u + j) * 256u + d) / 1u) % 256u * 1u]); } + score = dot * 0.0625 + f32(b3[row * 4096u + j]); + } + scores[t] = score; + tile_max = max(tile_max, score); + } + partial[lane] = tile_max; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] = max(partial[lane], partial[lane + stride]); } + workgroupBarrier(); + } + let next_max = max(running_max, partial[0]); + workgroupBarrier(); + var tile_sum = 0.0; + for (var t = lane; t < count; t += 64u) { + var p = 0.0; + if (scores[t] > -3.0e38) { p = exp(scores[t] - next_max); } + scores[t] = p; + tile_sum += p; + } + partial[lane] = tile_sum; + workgroupBarrier(); + for (var stride = 32u; stride > 0u; stride /= 2u) { + if (lane < stride) { partial[lane] += partial[lane + stride]; } + workgroupBarrier(); + } + var correction = 0.0; + if (running_max > -3.0e38) { correction = exp(running_max - next_max); } + running_sum = running_sum * correction + partial[0]; + running_max = next_max; + for (var c = 0u; c < 4u; c++) { + let d = lane + c * 64u; + var total = acc[c] * correction; + if (d < 256u) { + for (var t = 0u; t < count; t++) { + let p = scores[t]; + if (p != 0.0) { + let j = start + t; + total += p * f32(b2[(((kv_head * 4096u + j) * 256u + d) / 256u) % 4096u * 512u + (((kv_head * 4096u + j) * 256u + d) / 1048576u) % 2u * 256u + (((kv_head * 4096u + j) * 256u + d) / 1u) % 256u * 1u]); + } + } + } + acc[c] = total; + } + workgroupBarrier(); + } + for (var c = 0u; c < 4u; c++) { + let d = lane + c * 64u; + if (d < 256u) { + let i = (head * 1u + row) * 256u + d; + out[i] = f32(acc[c] / running_sum); + } + } +}